#  @stanfordonline Stanford Online Stanford Online posts on YouTube about ai, deep, artificial intelligence, science the most. They currently have [---------] followers and [---] posts still getting attention that total [------] engagements in the last [--] hours. ### Engagements: [------] [#](/creator/youtube::UCBa5G_ESCn8Yd4vw5U-gIcg/interactions)  - [--] Week [-------] +14% - [--] Month [---------] -23% - [--] Months [----------] +93% - [--] Year [----------] +234% ### Mentions: [---] [#](/creator/youtube::UCBa5G_ESCn8Yd4vw5U-gIcg/posts_active)  - [--] Week [---] +29% - [--] Month [---] +4.90% - [--] Months [---] +36% - [--] Year [---] +170% ### Followers: [---------] [#](/creator/youtube::UCBa5G_ESCn8Yd4vw5U-gIcg/followers)  - [--] Week [---------] no change - [--] Month [---------] +2% - [--] Months [---------] +24% - [--] Year [---------] +42% ### CreatorRank: [-------] [#](/creator/youtube::UCBa5G_ESCn8Yd4vw5U-gIcg/influencer_rank)  ### Social Influence **Social category influence** [technology brands](/list/technology-brands) 8.2% [finance](/list/finance) 6.56% [vc firms](/list/vc-firms) #221 [social networks](/list/social-networks) 2.19% [products](/list/products) 1.09% [stocks](/list/stocks) 0.55% [countries](/list/countries) 0.55% [currencies](/list/currencies) 0.55% **Social topic influence** [ai](/topic/ai) #4250, [deep](/topic/deep) #4134, [artificial intelligence](/topic/artificial-intelligence) #166, [science](/topic/science) #2348, [education](/topic/education) #2349, [how to](/topic/how-to) 13.11%, [llm](/topic/llm) #86, [generative](/topic/generative) #40, [topics](/topic/topics) #736, [business](/topic/business) #3552 **Top accounts mentioned or mentioned by** [@onurmutlulectures](/creator/undefined) [@binding](/creator/undefined) [@state](/creator/undefined) [@mainactor](/creator/undefined) [@bindable](/creator/undefined) [@observable](/creator/undefined) [@model](/creator/undefined) [@models](/creator/undefined) [@relationship](/creator/undefined) [@transient](/creator/undefined) [@environmentmodelcontext](/creator/undefined) [@viewbuilder](/creator/undefined) [@escaping](/creator/undefined) [@stanfordedu](/creator/undefined) ### Top Social Posts Top posts by engagements in the last [--] hours "Artificial Intelligence Professional Program Overview The Artificial Intelligence Professional Program is designed for working professionals who want to explore AI topics at graduate-level depth but with flexibility of schedule and scope. Courses in the program are adapted from lectures and materials delivered in on-campus Stanford graduate courses. For more information about Stanford's Artificial Intelligence Professional Program visit: https://online.stanford.edu/programs/artificial-intelligence-professional-program Stanford Stanford Online Artificial Intelligence AI Stanford Stanford" [YouTube Link](https://youtube.com/watch?v=5SVXUAFvui4) 2023-11-29T20:35Z 1M followers, 56.6K engagements "Stanford CS547 HCI Seminar Winter [----] Does GenAI Work in Education For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education February [--] [----] This lecture covers: A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning An introduction to and evaluation of FeedbackWriter How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation To follow along with the seminar schedule visit: https://hci.stanford.edu/ Xu Wang is an Assistant" [YouTube Link](https://youtube.com/watch?v=IydslKdqzYo) 2026-02-13T18:17Z 1M followers, [----] engagements "Stanford CS224W: ML with Graphs [----] Lecture [---] - Traditional Feature-based Methods: Graph For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/3vLi05C Traditional Feature-based Methods: Graph-level features Jure Leskovec Computer Science PhD In this video we focus on extracting features from the graphs as a whole. In other words we want features that characterize the structure of entire graphs. Specifically were interested in graph kernel methods that measure the similarity between two graphs. Well describe different" [YouTube Link](https://youtube.com/watch?v=buzsHTa4Hgs) 2021-04-15T18:25Z 1M followers, 94.9K engagements "Stop second-guessing high-stakes decisions. Make product decisions you can stand behind. Learn how to run effective experiments and translate the results into actionable insights that drive better product outcomes. Learn to: - Design experiments that answer real questions - Extract causal insights from messy data - Leverage AI for faster testing - Turn results into a clear strategy This course empowers product leaders designers and builders to leverage data science without becoming statisticians. Learn more about the course: https://stanford.io/4kBTRrW #ProductDevelopment #DataScience" [YouTube Link](https://youtube.com/watch?v=mG-PBK_CZR4) 2026-02-11T22:49Z 1M followers, [----] engagements "Overview Artificial Intelligence Course Stanford CS221: Learn AI (Autumn 2019) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/3meRgaI Topics: Overview of course Optimization Percy Liang Associate Professor & Dorsa Sadigh Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor Dorsa Sadigh Assistant Professor in the Computer Science Department &" [YouTube Link](https://youtube.com/watch?v=J8Eh7RqggsU) 2020-01-06T23:49Z 1M followers, 722.1K engagements "Stanford Robotics Seminar ENGR319 Winter [----] Bringing AI Up To Speed For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This seminar covers: How to refine testing methodologies to advance the safety of autonomous vehicles How high-speed autonomous racing provides a unique proving ground to test the boundaries of AIs physical capabilities How racing at high speeds and in close proximity to other vehicles exposes unsolved challenges in perception planning and control To follow along with the seminar schedule visit:" [YouTube Link](https://youtube.com/watch?v=NMFyMlwmwP8) 2026-02-11T00:21Z 1M followers, [----] engagements "Stanford CS230: Deep Learning Autumn [----] Lecture [--] - Class Introduction & Logistics Andrew Ng For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3eJW8yT Andrew Ng is an Adjunct Professor Computer Science at Stanford University. Kian Katanforoosh is a Lecturer Computer Science at Stanford University. To follow along with the course schedule and syllabus visit: http://cs230.stanford.edu/ Chapters: 0:00 Intro 3:30 Why is deep learning taking off 8:55 Tools of AI 12:50 Course Goals 19:37 Machine Learning Yearning 21:03" [YouTube Link](https://youtube.com/watch?v=PySo_6S4ZAg) 2019-03-21T20:01Z 1M followers, 809.9K engagements "Stanford CS336 Language Modeling from Scratch Spring [----] Lec. 2: Pytorch Resource Accounting For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/ Percy Liang Associate Professor of Computer Science Director of Center for Research on Foundation Models (CRFM) Tatsunori Hashimoto Assistant Professor of Computer Science" [YouTube Link](https://youtube.com/watch?v=msHyYioAyNE) 2025-04-10T21:14Z 1M followers, 125.7K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 6: Q-Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: How Q-functions relate to policies How to do RL without learning an explicit policy How to stabilize Q-learning in practice To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer" [YouTube Link](https://youtube.com/watch?v=-7kv6jf0isQ) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Tutorial Session: Review of Q-Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This tutorial covers: Review of Markov Decision Processes (MDP) Exact MDPs Parametric Q-Learning Practical Details Q-Learning/Actor Critic Algorithm Walkthrough To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Anikait Singh" [YouTube Link](https://youtube.com/watch?v=07MQNMcxhZU) 2025-12-08T19:33Z 1M followers, [----] engagements "Day in the Life of a Product Manager Stanford Online Product Management What does a product manager REALLY do and how does their work impact an organization See what your day-to-day might look like as a PM. Prasant Lokinendi a Principal Product Manager with 10+ years of experience and one of our accelerated PM Program Coaches walks us through a typical day of meetings strategy and collaboration. Interested in learning more about core product management skills and getting career advice and insights from coaches like Prasant Check out our 10-week program. https://stanford.io/AcceleratedPM" [YouTube Link](https://youtube.com/watch?v=22aqrGizK6o) 2023-07-12T17:30Z 1M followers, 68.7K engagements "Stanford CS231N Deep Learning for Computer Vision Spring [----] Lecture 1: Introduction For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. Computer vision overview [--]. Course overview [--]. Course logistics To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Fei-Fei Li Sequoia Professor of Computer Science and a Founding Co-Director of Stanfords" [YouTube Link](https://youtube.com/watch?v=2fq9wYslV0A) 2025-09-02T22:09Z 1M followers, 410.3K engagements "Stanford CS224W: ML with Graphs [----] Lecture [---] - Traditional Feature-based Methods: Node For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/2ZnSo2T Traditional Feature-based Methods: Node-level features Jure Leskovec Computer Science PhD Starting from this video well be discussing the techniques on traditional graph machine learning especially how to extract features at different levels of graphs. In this video we talk about node level features and their applications. Node level features focus on characteristics of" [YouTube Link](https://youtube.com/watch?v=3IS7UhNMQ3U) 2021-04-15T18:04Z 1M followers, 151.3K engagements "Stanford CS25: V4 I Jason Wei & Hyung Won Chung of OpenAI April [--] [----] Speakers: Jason Wei & Hyung Won Chung OpenAI Intuitions on Language Models (Jason) Jason will talk about some basic intuitions on language models inspired by manual examination of data. First he will discuss how one can view next word prediction as massive multi-task learning. Then he will discuss how this framing reconciles scaling laws with emergent individual tasks. Finally he will talk about the more general implications of these learnings. Slides here:" [YouTube Link](https://youtube.com/watch?v=3gb-ZkVRemQ) 2024-05-06T15:28Z 1M followers, 202.8K engagements "Stanford CS230 Autumn [----] Lecture 9: Career Advice in AI For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai November [--] [----] This lecture covers career advice and a guest speaker. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X Guest Speaker Laurence Moroney Best-selling AI" [YouTube Link](https://youtube.com/watch?v=AuZoDsNmG_s) 2025-12-17T00:44Z 1M followers, 268.7K engagements "Stanford CS234: Reinforcement Learning Winter [----] Lecture [--] - Introduction - Emma Brunskill For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Professor Emma Brunskill Stanford University https://stanford.io/3eJW8yT Professor Emma Brunskill Assistant Professor Computer Science Stanford AI for Human Impact Lab Stanford Artificial Intelligence Lab Statistical Machine Learning Group To follow along with the course schedule and syllabus visit: http://web.stanford.edu/class/cs234/index.html #EmmaBrunskill" [YouTube Link](https://youtube.com/watch?v=FgzM3zpZ55o) 2019-03-30T05:04Z 1M followers, 747.4K engagements "Stanford CS193p: iOS Development with SwiftUI [----] L8: Animation Demonstration View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 8th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Animation. Demonstrates explicit animation with withAnimation() creating custom animation constants using extensions on Animation struct and debugging animation issues by slowing down timing. To demonstrate animation a restart functionality is" [YouTube Link](https://youtube.com/watch?v=OZK7_p1G8Pw) 2025-12-03T20:59Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 8: Reward Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Why task specification is hard (& why nave methods fail) Methods for learning rewards from human supervision To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and" [YouTube Link](https://youtube.com/watch?v=PDIxDhA9Z6Y) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Tranformers & Large Language Models For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: Definition and architecture Mixture of experts Context length temperature Sampling strategies Prompting in-context learning Chain of thought Self-consistency To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:01:02 Recap of Transformers-based models 00:03:43 LLM definition" [YouTube Link](https://youtube.com/watch?v=Q5baLehv5So) 2025-10-17T22:08Z 1M followers, 56.9K engagements "Stanford CS193p: iOS Development with SwiftUI [----] L7: Animation View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 7th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Generics and custom View modifiers. Refactors the CodeView to accept any ancillary View (like MatchMarkers or guess buttons) using generics with constraints (AncillaryView: View). Demonstrates how to pass an @Binding parameter to a View's init implementing" [YouTube Link](https://youtube.com/watch?v=RYemrq0e7KM) 2025-12-03T20:58Z 1M followers, [----] engagements "Stanford CS336 Language Modeling from Scratch Spring [----] Lecture 1: Overview and Tokenization For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/ Percy Liang Associate Professor of Computer Science Director of Center for Research on Foundation Models (CRFM) Tatsunori Hashimoto Assistant Professor of Computer" [YouTube Link](https://youtube.com/watch?v=SQ3fZ1sAqXI) 2025-04-24T14:29Z 1M followers, 472.1K engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - LLM Training For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: Pretraining Quantization Hardware optimization Supervised finetuning (SFT) Parameter-efficient finetuning (LoRA) To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:07:19 Pretraining 00:13:26 FLOPs FLOPS 00:16:34 Scaling laws Chinchilla law 00:24:49 Training optimizations overview 00:31:09 Data" [YouTube Link](https://youtube.com/watch?v=VlA_jt_3Qc4) 2025-10-21T23:56Z 1M followers, 52.7K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 2: Imitation Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Imitation learning basics Learning expressive policy distributions Learning from online interventions To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and" [YouTube Link](https://youtube.com/watch?v=WxRDyObrm_M) 2025-12-08T19:34Z 1M followers, 12.9K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 9: RL for LLMs View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This guest lecture covers RL for LLMs: preference optimization. To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Archit Sharma Researcher on Gemini team Lead author of DPO Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=XKLGuwvSKvI) 2025-12-08T19:34Z 1M followers, [----] engagements "Jen-Hsun Huang: Stanford student and Entrepreneur co-founder and CEO of NVIDIA For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Every successful thing needs to be torn down and rebuilt. In more of an intimate conversation than a lecture Huang relates his experience as an engineer entrepreneur and innovator. Find out how he meets the ever-constant challenge of re-invention as co-founder and CEO of NVIDIA. Check out our entire catalog of courses and programs: https://online.stanford.edu/explore Jen Hsun Huang nvidia stanford entrepreneurship" [YouTube Link](https://youtube.com/watch?v=Xn1EsFe7snQ) 2011-06-23T20:20Z 1M followers, 757.1K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 5: Off-Policy Actor Critic View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Off-policy actor critic methods All of the key concepts for practical algorithms like PPO and SAC To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and" [YouTube Link](https://youtube.com/watch?v=cRGKc-nAWho) 2025-12-08T19:34Z 1M followers, [----] engagements "What advice do you have for getting started in AI & Machine Learning - Fei-Fei Li & Andrew Ng Stanford Professor Fei-Fei Li talks with Andrew about how the field of AI is now accessible to people from many different backgrounds. If youre considering a career in AI the Machine Learning Specialization developed by DeepLearning.AI and Stanford Online is the perfect place to start. Get more info at https://stanford.io/3HEj56q #shorts #ai #machinelearning Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=cxJi15eXWJU) 2023-05-10T13:00Z 1M followers, 58.8K engagements "Lecture [--] - GDA & Naive Bayes Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online Andrew Ng Cs229 AI Artificial Intelligence Stanford Stanford Online Andrew Ng Cs229 AI Artificial Intelligence" [YouTube Link](https://youtube.com/watch?v=nt63k3bfXS0) 2020-04-17T20:09Z 1M followers, 387.1K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 4: Actor-Critic Methods View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: How to estimate how good a state and action are for a policy How to use those estimates to form a more efficient RL algorithm To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in" [YouTube Link](https://youtube.com/watch?v=oejFZShW9hU) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 13: Meta RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Meta-RL problem statement Black-box meta-RL methods To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi." [YouTube Link](https://youtube.com/watch?v=wSiyEpvoGkA) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L14: SwiftData Demonstration View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 14th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Continues the SwiftData implementation. Implements more complex database queries with predicates that join multiple tables and handle the differences between computed properties and stored database fields. Uses NotificationCenter publishers for" [YouTube Link](https://youtube.com/watch?v=1PDZl0LPryw) 2025-12-18T21:49Z 1M followers, [----] engagements "Stanford Seminar - Designing bioinspired aerial robots with feathered morphing wings Laura Matloff Stanford March [--] [----] Birds are a source of design inspiration for aerial robots as they can still outmaneuver current man-made fliers of similar size and weight. I study their ability to seamlessly morph their wings through large shape changes during gliding flight and use biological measurements to drive mechanical design. I measure the wing feather and bone kinematics investigate adjacent feather interactions and examine feather microstructures to inform the design of PigeonBot a biohybrid" [YouTube Link](https://youtube.com/watch?v=23X-zTTrfgQ) 2020-03-17T16:38Z 1M followers, 19.1K engagements "Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=2H4_7izio9Y) 2024-03-12T15:00Z 1M followers, 58.8K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 14: Exploration View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Exploration Learning to Explore via Meta-Learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of" [YouTube Link](https://youtube.com/watch?v=4tlSKdi8teU) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS547 HCI Seminar Winter [----] Creation Evolution and Formalization of Notations For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: Common patterns and stages for the development of notations across computational scientific and artistic fields The role of cultural context linking and grounding metaphors and cognitive processes of analogical alignment Building a more pluralistic future for human-AI communication To follow along with the seminar schedule visit: https://hci.stanford.edu/ Ian" [YouTube Link](https://youtube.com/watch?v=5p9VOzJAmW8) 2026-02-11T00:12Z 1M followers, [----] engagements "Stanford CS547 HCI Seminar Autumn [----] Tracing and Shaping Paths in Design Space For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This lecture covers: Making sense of user interactions with creativity support tools How AI-supported evaluation methods can help us illuminate a design tool's expressive range; trace user trajectories through design space; and potentially even intervene to shape these trajectories while the interaction is still unfolding To follow along with the seminar schedule visit:" [YouTube Link](https://youtube.com/watch?v=B9WsVMGtIuk) 2025-12-17T01:14Z 1M followers, [----] engagements "New Course: Mastering Difficult Conversations with AI The difficult conversations you're avoiding You can practice them first. Confront toxic behavior Motivate disengaged talent Push back on your boss all in a low-stakes rehearsal space with AI coaching. Learn more and enroll: https://stanford.io/49VsoxE Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=Eorjmb0--IM) 2026-02-03T18:14Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L15: Multithreading View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 15th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Multithreading fundamentals including the MainActor background queues and async/await patterns but first the lecture finishes off some SwiftData topics including complex sorting options for completed games and advanced predicate queries that traverse" [YouTube Link](https://youtube.com/watch?v=F0nefFT2Uik) 2025-12-18T21:53Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 18: Frontiers View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Problem set-up Methods Deployment & Evaluation To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi." [YouTube Link](https://youtube.com/watch?v=FacJ_1tTSx4) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 17: Advancing Robot Intelligence View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Advancing robot intelligence with reinforcement learning What is reinforcement learning What has reinforcement learning achieved To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Ashish Kumar AI Lead Tesla" [YouTube Link](https://youtube.com/watch?v=Hp1WBWghrak) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS547 HCI Seminar Winter [----] LLM Chatbots in the Online Social World For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: How the ongoing integration of LLMs into our social worlds is creating new risks and opportunities Best practices for designing rehabilitative bots To follow along with the seminar schedule visit: https://hci.stanford.edu/ Jeremy Foote is an Assistant Professor in the Brian Lamb School of Communication at Purdue University and a faculty member in the Community Data Science" [YouTube Link](https://youtube.com/watch?v=IH-hRdNMIq0) 2026-01-15T22:40Z 1M followers, [----] engagements "Stanford CS547 HCI Seminar Autumn [----] What Is a (Future) Designer For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: What a designer is today and what the designer of tomorrow will become How design can transcend traditional categories to shape emerging technologies and ecological futures To follow along with the seminar schedule visit: https://hci.stanford.edu/ Lining Yao is an Assistant Professor of Mechanical Engineering at the University of California Berkeley where she directs the Morphing" [YouTube Link](https://youtube.com/watch?v=JbX98G2sSEQ) 2025-11-17T21:46Z 1M followers, [----] engagements "Stanford CS105: Intro to Computers [----] Lecture [---] Bits Bytes & Binary: It's all about [--] & [--] Patrick Young Computer Science PhD This course is a survey of Internet technology and the basics of computer hardware. You will learn what computers are and how they work and gain practical experience in the development of websites and an introduction to programming. To follow along with the course and download the syllabus visit: http://web.stanford.edu/class/cs105/ To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Patrick Young Stanford CS105 Introduction" [YouTube Link](https://youtube.com/watch?v=LOV_BwQfOqI) 2021-08-05T21:08Z 1M followers, 35.1K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 11: Model-Based RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: How to learn and use dynamic models The key challenges and trade-offs arising in model-based RL To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical" [YouTube Link](https://youtube.com/watch?v=PvqyGnOirgA) 2025-12-08T19:33Z 1M followers, [----] engagements "Statistical Learning: 2.Py Setting Up Python I [----] Statistical Learning featuring Deep Learning Survival Analysis and Multiple Testing Trevor Hastie Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie Robert Tibshirani Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani Jonathan Taylor Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor You are able to take Statistical Learning as" [YouTube Link](https://youtube.com/watch?v=RelOJOIKaTk) 2023-12-05T18:58Z 1M followers, 26.1K engagements "Course Overview: Mastering Difficult Conversations with AI Course details: https://stanford.io/4qjWTCk Think back to the first time you had to tell a direct report their work wasnt good enough or persuade your supervisor to change course. For most new managers those difficult conversations might not have gone as planned. But research shows these early moments can shape the trajectory of your entire career. The good news is you dont have to wait for the next high-stakes conversation to get it right. In this course Stanford faculty combine decades of research with the emergent superpowers of" [YouTube Link](https://youtube.com/watch?v=WL08n97t3Ug) 2026-02-05T18:49Z 1M followers, [----] engagements "Stanford CS234 Reinforcement Learning I Q learning and Function Approximation I [----] I Lecture [--] For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit the course website: https://web.stanford.edu/class/cs234/ Emma Brunskill Associate Professor of Computer Science at Stanford University https://cs.stanford.edu/people/ebrun/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/cs234-reinforcement-learning To view all online courses and programs offered by Stanford visit:" [YouTube Link](https://youtube.com/watch?v=b_wvosA70f8) 2024-10-30T22:38Z 1M followers, 17.1K engagements "Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=d2jF3SXcFQ8) 2024-03-16T15:00Z 1M followers, 16K engagements "Stanford Seminar - What can HCI learn from Architecture about interaction David Kirsh UC San Diego January [--] [----] Architects design structures for people to dwell in to inhabit. They support social as well as physical interaction. HCI so far has concentrated on designing interfaces primarily for people to monitor and control systems. The two fields HCI and Architecture - operate with different notions of what an interface is and what interaction means. I begin with a quick look at the properties of interfaces and the concept of interaction those properties support. This shows that there are" [YouTube Link](https://youtube.com/watch?v=hqcs6ChtNPc) 2020-01-27T23:48Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 15: Hierarchical RL and IL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Whats the problem Key design choices Example systems To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and" [YouTube Link](https://youtube.com/watch?v=iKWYLSVAtfM) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 7: Offline RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Key challenges arising in offline reinforcement learning Two approaches for offline RL (& why they work) How offline RL can improve over imitation learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn" [YouTube Link](https://youtube.com/watch?v=lRDaXnPIzks) 2025-12-08T19:34Z 1M followers, [----] engagements "Statistical Learning: 3.Py Linear Regression and statsmodels Package I [----] Statistical Learning featuring Deep Learning Survival Analysis and Multiple Testing Trevor Hastie Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie Robert Tibshirani Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani Jonathan Taylor Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor You are able to take" [YouTube Link](https://youtube.com/watch?v=mKalBNrxToU) 2023-12-05T18:58Z 1M followers, 12.9K engagements "Stanford CS193p: iOS Development with SwiftUI [----] L9: Protocols View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 9th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). The 9th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). More Animation. Implements elapsed time tracking to demonstrate more about animation and other Swift features. Includes implementing a custom" [YouTube Link](https://youtube.com/watch?v=o3D3rqh-IVA) 2025-12-03T21:00Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 12: Multi-Task RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Multi-task and goal-conditioned reinforcement learning Model-based reinforcement learning Multi-task imitation and reinforcement learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor" [YouTube Link](https://youtube.com/watch?v=qNdsI_4AQJw) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS149 I Parallel Computing I [----] I Lecture [--] - GPU architecture and CUDA Programming CUDA programming abstractions and how they are implemented on modern GPUs To follow along with the course visit the course website: https://gfxcourses.stanford.edu/cs149/fall23/ Kayvon Fatahalian Associate Professor of Computer Science Stanford University https://graphics.stanford.edu/kayvonf/ Kunle Olukotun Cadence Design Systems Professor Professor of Electrical Engineering and of Computer Science Stanford University https://engineering.stanford.edu/people/oyekunle-olukotun Learn more about the" [YouTube Link](https://youtube.com/watch?v=qQTDF0CBoxE) 2024-09-18T14:30Z 1M followers, 26K engagements "Stanford CS224W: ML with Graphs [----] Lecture [---] - Matrix Factorization and Node Embeddings For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/2XRqWKq Jure Leskovec Computer Science PhD In the last part of this lecture we switch gears a bit and discuss matrix factorization method for generating node embeddings. Specifically we discuss how previously mentioned methods for learning node embeddings connect to methods in matrix factorization. With these intuitions we then present [--] limitations with embedding methods based on" [YouTube Link](https://youtube.com/watch?v=r12qJZZVtqc) 2021-04-22T18:14Z 1M followers, 45.6K engagements "Statistical Learning: [----] Model Evaluation and Further Topics Statistical Learning featuring Deep Learning Survival Analysis and Multiple Testing Trevor Hastie Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie Robert Tibshirani Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani Jonathan Taylor Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor You are able to take Statistical" [YouTube Link](https://youtube.com/watch?v=rRYfWAsG4RI) 2022-10-07T17:39Z 1M followers, [----] engagements "How to Build a Product IV - Jan Koum Co-founder of WhatsApp - Stanford CS183F: Startup School In the fourth and final episode of How to Build a Product Jan Koum shares his journey as the CEO and co-founder of WhatsApp. Stanford Y Combinator WhatsApp Jan Koum CEO Co-founder How to Build a Product Startup school Startup computer science CS183F cs innovation entrepreneurship Stanford Y Combinator WhatsApp Jan Koum CEO Co-founder How to Build a Product Startup school Startup computer science CS183F cs innovation entrepreneurship" [YouTube Link](https://youtube.com/watch?v=s1Rd4UShDxQ) 2017-04-28T23:47Z 1M followers, 76.6K engagements "Stanford CS230 Autumn [----] Lecture 6: AI Project Strategy For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai October [--] [----] This lecture provides walkthroughs of examples of AI projects and making day-to-day decisions in building AI systems. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist:" [YouTube Link](https://youtube.com/watch?v=s6JVGzABKho) 2025-11-05T00:02Z 1M followers, 34.5K engagements "Stanford CS547 HCI Seminar Winter [----] Visual and Algorithmic Interpretation for Responsible AI For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: Visual and algorithmic tools that make sense of AI behaviors and risks AI vulnerabilities and innovative countermeasures To follow along with the seminar schedule visit: https://hci.stanford.edu/ Duen Horng (Polo) Chau is a Professor at Georgia Techs School of Computational Science and Engineering holding a Machine Learning Ph.D. from Carnegie Mellon" [YouTube Link](https://youtube.com/watch?v=u74gb_DCtzo) 2026-01-26T21:14Z 1M followers, [----] engagements "Stanford Seminar - Silicon Valley & The U.S. Government: In-Q-Tels George Hoyem April [--] [----] George Hoyem In-Q-Tel In-Q-Tels EVP of Investments George Hoyem is interviewed by Ernestine Fu Mak with special remarks from Joe Felter and Steve Blank. In-Q-Tels Managing Partner A.J. Bertone also participates in the conversation. Founded in [----] In-Q-Tel is the non-profit strategic investor that accelerates the development and delivery of cutting-edge technologies to U.S. government agencies and allied nations. This session is part of the Silicon Valley & The U.S. Government speaker series co-led" [YouTube Link](https://youtube.com/watch?v=ucior1Hnzlk) 2024-07-10T23:02Z 1M followers, [----] engagements "Stanford Robotics Seminar ENGR319 Autumn [----] Next Generation Dexterous Manipulation For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This seminar examines the critical barriers that continue to limit progress toward general-purpose robotic manipulation and discusses the catalyst problems that currently prevent robots from operating effectively at scale in domestic industrial and agricultural settings. To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Monroe Kennedy III" [YouTube Link](https://youtube.com/watch?v=v18Jo2ILXZ8) 2025-12-11T22:22Z 1M followers, [----] engagements "Myth: #GenAI Can Use the Same Business Model as SaaS Stanford Online instructor Aditya Challapally shares his findings on the most effective pricing strategies for GenAI products. Dont let myths mislead your AI strategyfind the real opportunities. Learn how in Aditya's online course: https://online.stanford.edu/courses/xapro210-mastering-generative-ai-product-innovationutm_source=youtube&utm_medium=social Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=vEuBi0T4-z8) 2024-07-16T21:13Z 1M followers, 12K engagements "Stanford CS25: V5 I On the Biology of a Large Language Model Josh Batson of Anthropic May [--] [----] Large language models do many things and it's not clear from black-box interactions how they do them. We will discuss recent progress in mechanistic interpretability an approach to understanding models based on decomposing them into pieces understanding the role of the pieces and then understanding behaviors based on how those pieces fit together. We will focus on the methods and findings of On the Biology of a Large Language Model with some additional excursions and speculations. We hope to shed" [YouTube Link](https://youtube.com/watch?v=vRQs7qfIDaU) 2025-06-05T21:41Z 1M followers, 34.7K engagements "Stanford CS25: V5 I Transformers in Diffusion Models for Image Generation and Beyond May [--] [----] Sayak Paul of Hugging Face Diffusion models have been all the rage in recent times when it comes to generating realistic yet synthetic continuous media content. This talk covers how Transformers are used in diffusion models for image generation and goes far beyond that. We set the context by briefly discussing some preliminaries around diffusion models and how they are trained. We then cover the UNet-based network architecture that used to be the de facto choice for diffusion models. This helps us" [YouTube Link](https://youtube.com/watch?v=vXtapCFctTI) 2025-06-24T16:35Z 1M followers, 25.3K engagements "Lecture [--] - Decision Trees and Ensemble Methods Stanford CS229: Machine Learning (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Raphael Townshend PhD Candidate and CS229 Head TA To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online CS229 AI Stanford Stanford Online CS229 AI" [YouTube Link](https://youtube.com/watch?v=wr9gUr-eWdA) 2020-04-17T20:10Z 1M followers, 235.2K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 10: RL for LLM Reasoning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers reinforcement learning for LLM reasoning. To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Aviral Kumar Professor at Carnegie Mellon University Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=O2VpNnwB4lM) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L11: iPad and Mac View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 11th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Make CodeBreaker work across multiple platforms (iPhone iPad Mac) using NavigationSplitView. Demonstrates converting NavigationStack to NavigationSplitView for side-by-side Views on larger screens. Along the way covers understanding size classes (compact vs" [YouTube Link](https://youtube.com/watch?v=PXcl5cjVNT0) 2025-12-03T21:01Z 1M followers, [----] engagements "Stanford Seminar - Silicon Valley & The U.S. Government: In-Q-Tels Steve Bowsher October [--] [----] Steve Bowsher In-Q-Tel In-Q-Tel CEO and President Steve Bowsher is interviewed by Ernestine Mak and Joe Felter. Founded in [----] In-Q-Tel is the non-profit strategic investor that accelerates the development and delivery of cutting-edge technologies to U.S. government agencies and allied nations. __ This session is part of the Silicon Valley & The U.S. Government speaker series co-led by Ernestine Mak Steve Blank Paul Kwan and Joe Felter. Silicon Valley collaborations with the U.S. government have" [YouTube Link](https://youtube.com/watch?v=ShjFX4r9J78) 2024-04-01T23:33Z 1M followers, [----] engagements "Myth: You Need to Host Your Own #GenAI Model for Security or Privacy Stanford Online instructor Aditya Challapally shares his findings on whether companies should host their own models or utilize existing APIs. Dont let myths mislead your AI strategyfind the real opportunities. Learn how in Aditya's online course: https://online.stanford.edu/courses/xapro210-mastering-generative-ai-product-innovationutm_source=youtube&utm_medium=social Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=U5W1MqH3aZs) 2024-07-16T21:13Z 1M followers, 11.8K engagements "Andrew Ng and Fei-Fei Li Discuss Human-Centered Artificial Intelligence - Stanford Online Earlier this year Andrew Ng sat down with Professor Fei-Fei Li to discuss the past and present state of Artificial Intelligence and some of the "audacious questions" still to be answered. If you would like to get started in AI the new Coursera Machine Learning Specialization developed by Stanford Online and DeepLearning.AI is the perfect place to start. Learn more 👉 https://stanford.io/3HEj56q 0:00 Introduction 1:23 Fei-Fei Li Background 8:40 Vision for AI 11:47 ImageNet 16:36 CalTech [---] Dataset 21:06" [YouTube Link](https://youtube.com/watch?v=UNhC6Ox0T0o) 2023-05-11T18:09Z 1M followers, 39.2K engagements "Stanford Seminar - Hans Tung of GGV Capital "Globalization of Startup Companies from China: Perspectives of a VC" -Hans Tung GGV Capital "New Trends in Start-Up Company Acceleration: Toward the Rise of the Global Start-Up". This series features new incubator and accelerator programs in Silicon Valley and select Asia economies that promote early development of international business operations by start-up companies. Investigate how start-up companies cope with the challenges of business globalization and the implications of these new models of incubation for the future of Asia economies and" [YouTube Link](https://youtube.com/watch?v=VL1We3LURNA) 2014-12-01T23:16Z 1M followers, [----] engagements "Stanford Webinar - Closing the Loop: The Circular Economy Business & Sustainability Learn more about the Stanford Online Strategies for Sustainability course (https://stanford.io/3N4ODTi) Learn more about our Energy Innovation and Emerging Technologies Program (https://stanford.io/3KnavYi) The worlds resources are being consumed at an unprecedented pace. In order to meet sustainability and business goals organizations must adapt their practices to eliminate waste in all processes. Consequently a growing number of organizations around the world are shifting their business models away from a" [YouTube Link](https://youtube.com/watch?v=WDNhl0JxXBM) 2022-05-09T20:18Z 1M followers, 133.7K engagements "Stanford CS193p: iOS Development with SwiftUI [----] L12: Even More Complex UIs View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 12th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Building modal interfaces and reusable View components. Creates a PegChoicesChooserView for editing game peg count and colors. Demonstrates how to control sheet presentation with isPresented bindings and creating game editors with proper data" [YouTube Link](https://youtube.com/watch?v=gNok5P7HLCw) 2025-12-03T21:02Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L13: SwiftData View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 13th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Using SwiftData to make an app's data persistent. Shows how to convert a Model from structs to @Model classes. Explains the restrictions on @Model var types (primitives other @Models Codables Arrays) using @Relationship annotations for table relationships and" [YouTube Link](https://youtube.com/watch?v=k9wjAdgUY0A) 2025-12-18T20:57Z 1M followers, [----] engagements "Stanford Seminar - Silicon Valley & The U.S. Government: Investing in Resilience and Security Venture capitalists Ernestine Fu Mak (Brave Capital) Dan Gwak (Point72 Ventures) Paul Kwan (General Catalyst) and Steve Bowsher (In-Q-Tel) discuss the latest trends in investing in resilience and security. This session is part of the Silicon Valley & The U.S. Government speaker series co-led by Ernestine Fu Mak Steve Blank Joe Felter Eric Volmar and Steve Bowsher. Silicon Valley collaborations with the U.S. government have led to some of the most important technologies in our society. Driven by" [YouTube Link](https://youtube.com/watch?v=kX32TI_sZg4) 2025-03-12T18:46Z 1M followers, [---] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 16: RL for Robots View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Why arent robots autonomous already Defining the problem: autonomous RL Developing the algorithms To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical" [YouTube Link](https://youtube.com/watch?v=rbaWQQLrzl0) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L16: Shapes Gestures Persistence View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 16th and final lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Covers miscellaneous topics like creating custom Shapes using GeometryReader multi-touch gesture handling and persistence alternatives to SwiftData (e.g. the file system). Paul Hegarty is a Lecturer who has been teaching CS193p at" [YouTube Link](https://youtube.com/watch?v=skECWIKpBVY) 2025-12-18T21:59Z 1M followers, [----] engagements "Stanford CS229: Machine Learning Summer [----] Lecture [--] - Variational Autoencoder For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Anand Avati Computer Science PhD To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-summer2019.html Stanford Online Machine Learning AI Artificial intelligence Stanford Online Machine Learning AI Artificial intelligence" [YouTube Link](https://youtube.com/watch?v=-TPFg-RG-KY) 2022-07-06T22:29Z 1M followers, 29.6K engagements "Course Overview - Business Opportunities and Applications of Generative AI Learn more and enroll in the course: https://online.stanford.edu/courses/xfm111-business-opportunities-and-applications-generative-ai Generative AI has opened up previously unimaginable possibilities for businesses and organizations. In order to make the most of these opportunities and drive innovation leaders must have a solid grasp of this rapidly evolving technological landscape. This course will equip you with the strategies and techniques to effectively leverage this powerful technology and navigate potential" [YouTube Link](https://youtube.com/watch?v=0oGidOXWeds) 2024-10-30T22:12Z 1M followers, 1.4M engagements "Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=1menqhfNzzo) 2024-03-13T15:00Z 1M followers, 38K engagements "Stanford CS109 Probability for Computer Scientists I Counting I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/archive/cs/cs109/cs109.1232/ Chris Piech Assistant Professor of Computer Science at Stanford University http://stanford.edu/cpiech/bio/index.html Learn more about the course and how to enroll: https://online.stanford.edu/courses/cs109-introduction-probability-computer-scientists To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=2MuDZIAzBMY) 2023-10-09T20:11Z 1M followers, 240.2K engagements "Course Overview - Human-Centered Generative AI Learn more and enroll in the course: https://online.stanford.edu/courses/xfm112-human-centered-generative-ai While generative AI has the potential to transform industries and organizations that transformation may pose considerable risks to individuals communities and society at large. To navigate these risks leaders must apply a human-centered approach to the development and deployment of generative AI systems. Developed in collaboration with the Stanford Institute for Human-Centered Artificial Intelligence (HAI) this course provides ethical" [YouTube Link](https://youtube.com/watch?v=3ENnyP7iM1E) 2024-10-30T22:12Z 1M followers, 1.7M engagements "Stanford CS230 Autumn [----] Lecture 5: Deep Reinforcement Learning For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai October [--] [----] This lecture covers deep reinforcement learning. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X" [YouTube Link](https://youtube.com/watch?v=4E27qlfYw0A) 2025-10-31T20:59Z 1M followers, 30.2K engagements "Stanford CS229: Machine Learning - Linear Regression and Gradient Descent Lecture [--] (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai This lecture covers supervised learning and linear regression. Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html #andrewng #machinelearning Chapters: 00:00 Intro 00:45 Motivate Linear Regression 03:01 Supervised Learning 04:44 Designing a" [YouTube Link](https://youtube.com/watch?v=4b4MUYve_U8) 2020-04-17T20:08Z 1M followers, 1.9M engagements "Lecture [--] - Kernels Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html 0:00 Introduction 0:10 Support vector machine algorithm 2:47 Derivation of this classification problem 7:47 Decision boundary 11:58 The represented theorem 13:20 Logistic Regression 26:31 The dual optimization" [YouTube Link](https://youtube.com/watch?v=8NYoQiRANpg) 2020-04-17T20:10Z 1M followers, 249.5K engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - LLM Evaluation For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This lecture covers: LLM-as-a-judge overview Best practices and benefits Biases and pitfalls To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:07:08 Inter-rater agreement metrics 00:18:24 Rule-based metrics 00:21:00 METEOR BLEU ROUGE 00:28:00 LLM-as-a-judge 00:33:44 Structured outputs 00:36:48 Variants 00:38:47" [YouTube Link](https://youtube.com/watch?v=8fNP4N46RRo) 2025-12-02T17:01Z 1M followers, 35K engagements "AI & Cybersecurity: Dan Boneh Interviews Sam Altman Watch Dan Boneh the Co-Academic Director of the Stanford Advanced Cybersecurity Program interview OpenAI CEO Sam Altman one of the industry experts featured in our newest course on AI Security. The two thought leaders discuss the future of AI necessary AI skills AI security the impact of AI on computer science and more. Learn more about our AI Security course: https://online.stanford.edu/courses/xacs134-ai-security 0:50 Open questions in AI 8:15 Future of AI & Skills Needed 15:10 AI Security 20:30 Impact of AI on computer science 23:03 CS" [YouTube Link](https://youtube.com/watch?v=940zih5bee4) 2025-11-11T17:18Z 1M followers, 105.1K engagements "Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai This lecture provides a concise overview of building a ChatGPT-like model covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component it explores common practices in data collection algorithms and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanfords CS229: Machine Learning course in Summer [----]. Yann Dubois PhD Student at Stanford https://yanndubs.github.io/" [YouTube Link](https://youtube.com/watch?v=9vM4p9NN0Ts) 2024-08-27T22:02Z 1M followers, 1.8M engagements "Stanford CS193p: iOS Development with SwiftUI [----] L3: Model and UI & Swift Type System View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 3rd lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). This lecture focuses on Swift's type system fundamentals and explains the Model-UI separation principle in SwiftUI emphasizing that the Model contains the app's core logic and data (UI-independent) while the UI is a declarative reactive" [YouTube Link](https://youtube.com/watch?v=B42CuI0RO7Y) 2025-11-14T00:21Z 1M followers, [----] engagements "Stanford CS230 Autumn [----] Lecture 2: Supervised Self-Supervised & Weakly Supervised Learning For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai September [--] [----] This lecture covers key AI concepts through case studies. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist:" [YouTube Link](https://youtube.com/watch?v=DNCn1BpCAUY) 2025-10-07T23:23Z 1M followers, 122.1K engagements "Stanford CS336 Language Modeling from Scratch Spring [----] Lecture 15: Alignment - SFT/RLHF For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/ Percy Liang Associate Professor of Computer Science Director of Center for Research on Foundation Models (CRFM) Tatsunori Hashimoto Assistant Professor of Computer Science" [YouTube Link](https://youtube.com/watch?v=Dfu7vC9jo4w) 2025-06-20T17:33Z 1M followers, 28.5K engagements "Stanford CS224N: NLP with Deep Learning Spring [----] Lecture [--] - Intro and Word Vectors For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. The course (10 mins) [--]. Human language and word meaning (15 mins) [--]. Word2vec introduction (15 mins) [--]. Word2vec objective function gradients (25 mins) [--]. Optimization basics (5 mins) [--]. Looking at word vectors (10 mins or less) Key learning: The (astounding) result that word meaning can be represented rather well by a (high-dimensional) vector of real numbers To learn more" [YouTube Link](https://youtube.com/watch?v=DzpHeXVSC5I) 2025-03-04T15:56Z 1M followers, 151.6K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 1: Class Intro View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Class introduction Markov Decisions Processes Why study deep reinforcement learning Intro to modeling behavior and reinforcement learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor" [YouTube Link](https://youtube.com/watch?v=EvHRQhMX7_w) 2025-12-08T19:34Z 1M followers, 60.6K engagements "Stanford Webinar - Design Thinking: What is it and why should I care Learn design thinking from Perry and Jeremy entirely online: https://online.stanford.edu/programs/creativity-and-design-thinking-program In this webinar design thinking all-stars Jeremy Utley and Perry Klebahn break down the basics of design thinking and show you how to apply a creative lens to challenges youre facing at work or at home. To demonstrate the power of design thinking Perry and Jeremy work through challenges submitted by the audience in real-time. Theyll show you how you can tackle any problem youre facing by" [YouTube Link](https://youtube.com/watch?v=GeUXQ_L-35M) 2021-09-27T22:55Z 1M followers, 237.4K engagements "Stanford CS224W: Machine Learning with Graphs [----] Lecture [---] - Why Graphs For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/3Bu1w3n Jure Leskovec Computer Science PhD Graphs are a general language for describing and analyzing entities with relations/interactions. There are many types of networks and graphs such as social networks communication and transaction networks biomedine networks brain networks etc. In this course we will take advantage of relational structure for better prediction. To follow along with the" [YouTube Link](https://youtube.com/watch?v=JAB_plj2rbA) 2021-04-13T16:16Z 1M followers, 582.3K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 3: Policy Gradients View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] Key intuition behind policy gradients How to implement when to use policy gradients To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University" [YouTube Link](https://youtube.com/watch?v=KCAOXd4IO9o) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS230 Autumn [----] Lecture 3: Full Cycle of a DL project For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai October [--] [----] This lecture covers the full cycle of a DL project. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X" [YouTube Link](https://youtube.com/watch?v=MGqQuQEUXhk) 2025-10-15T19:30Z 1M followers, 53.4K engagements "Lecture [--] - Introduction to Neural Networks Stanford CS229: Machine Learning (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Kian Katanforoosh Lecturer Computer Science To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online CS229 AI Stanford Stanford Online CS229 AI" [YouTube Link](https://youtube.com/watch?v=MfIjxPh6Pys) 2020-04-17T20:12Z 1M followers, 272.9K engagements "Stanford CS193p: iOS Development with SwiftUI [----] L10: Building Complex UIs View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 10th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). CodeBreaker is enhanced to be able to show multiple games. Enhancing an app's architecture to display multiple Views. Implements a GameChooser View with List demonstrating @State management at the app root level and implementing named CodeBreaker" [YouTube Link](https://youtube.com/watch?v=NnJ91M9PRYo) 2025-12-03T21:00Z 1M followers, [----] engagements "Stanford CS230 Autumn [----] Lecture 10: Whats Going On Inside My Model For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai December [--] [----] This lecture covers what's happening inside your model and provides a class wrap-up. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X Andrew" [YouTube Link](https://youtube.com/watch?v=Ozb1AR_F5MU) 2025-12-15T23:32Z 1M followers, 16.6K engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - LLM tuning For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: Preference tuning RLHF overview Reward modeling RL approaches (PPO and variants) DPO To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:04:50 Preference tuning 00:11:31 Data collection 00:17:43 RLHF overview 00:28:24 Reward model 00:29:46 Bradley-Terry formulation 00:46:02 Reinforcement learning" [YouTube Link](https://youtube.com/watch?v=PmW_TMQ3l0I) 2025-11-14T18:59Z 1M followers, 28K engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Recap & Current Trends For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This lecture covers: Recap Trending topics Closing thoughts To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:01:12 Transformer 00:06:35 Transformer-based models & tricks 00:11:17 Large Language Models 00:15:05 LLM training 00:24:09 LLM tuning 00:29:41 LLM reasoning 00:38:37 Agentic LLMs (RAG tool calling)" [YouTube Link](https://youtube.com/watch?v=Q86qzJ1K1Ss) 2025-12-09T20:43Z 1M followers, 78.9K engagements "Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=U2HRwA7XePU) 2024-03-14T15:00Z 1M followers, 23.6K engagements "How to Get Users and Grow - Alex Schultz VP of Growth at Facebook - Stanford CS183F: Startup School Alex Schultz VP of Growth at Facebook shares with us how to get users how to grow and how to measure growth. Stanford Facebook Alex Schultz Growth Startup Y Combinator CS183F Stanford Facebook Alex Schultz Growth Startup Y Combinator CS183F" [YouTube Link](https://youtube.com/watch?v=URiIsrdplbo) 2017-05-03T21:06Z 1M followers, 211.2K engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Transformer For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education September [--] [----] This lecture covers: Background on NLP and tasks Tokenization Embeddings Word2vec RNN LSTM Attention mechanism Transformer architecture To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:03:54 Class logistics 00:09:40 NLP overview 00:22:57 Tokenization 00:30:28 Word representation 00:53:23 Recurrent neural networks" [YouTube Link](https://youtube.com/watch?v=Ub3GoFaUcds) 2025-10-17T22:08Z 1M followers, 460.2K engagements "Stanford CS234 Reinforcement Learning I Introduction to Reinforcement Learning I [----] I Lecture [--] For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit the course website: https://web.stanford.edu/class/cs234/ Emma Brunskill Associate Professor of Computer Science at Stanford University https://cs.stanford.edu/people/ebrun/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/cs234-reinforcement-learning To view all online courses and programs offered by Stanford visit:" [YouTube Link](https://youtube.com/watch?v=WsvFL-LjA6U) 2024-10-30T22:38Z 1M followers, 136.5K engagements "Stanford CS236: Deep Generative Models I [----] I Lecture [--] - Introduction For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit the course website: https://deepgenerativemodels.github.io/ Stefano Ermon Associate Professor of Computer Science Stanford University https://cs.stanford.edu/ermon/ Learn more about the online course and how to enroll: https://online.stanford.edu/courses/cs236-deep-generative-models To view all online courses and programs offered by Stanford visit: https://online.stanford.edu/" [YouTube Link](https://youtube.com/watch?v=XZ0PMRWXBEU) 2024-05-06T15:35Z 1M followers, 153.3K engagements "Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy January [--] [----] Introduction to Transformers Andrej Karpathy: https://karpathy.ai/ Since their introduction in [----] transformers have revolutionized Natural Language Processing (NLP). Now transformers are finding applications all over Deep Learning be it computer vision (CV) reinforcement learning (RL) Generative Adversarial Networks (GANs) Speech or even Biology. Among other things transformers have enabled the creation of powerful language models like GPT-3 and were instrumental in DeepMind's recent AlphaFold2 that tackles" [YouTube Link](https://youtube.com/watch?v=XfpMkf4rD6E) 2023-05-19T18:00Z 1M followers, 963.2K engagements "General Intro Stanford CS221: Artificial Intelligence: Principles and Techniques (Autumn 2021) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor Dorsa Sadigh Assistant Professor in the Computer Science Department & Electrical Engineering Department https://profiles.stanford.edu/dorsa-sadigh To follow along with the course schedule and syllabus visit:" [YouTube Link](https://youtube.com/watch?v=ZiwogMtbjr4) 2022-05-31T17:52Z 1M followers, 212.7K engagements "How and Why to Start A Startup - Sam Altman & Dustin Moskovitz - Stanford CS183F: Startup School Sam Altman President of Y Combinator and Dustin Moskovitz Cofounder of Facebook and Asana kick off the How to Start a Startup Course. Dustin discusses Why to Start a Startup and Sam introduces the [--] key components of Starting a Startup: Idea Product Team and Execution. http://www.slideshare.net/StevenPham7/lecture-1-how-to-start-a-startup-by-sam-altman Explore Stanford Online courses: https://online.stanford.edu/explore startup y-combinator YC Stanford CS183F Engineering company building creating" [YouTube Link](https://youtube.com/watch?v=ZoqgAy3h4OM) 2017-04-05T19:30Z 1M followers, 288.1K engagements "How to Find Product Market Fit - Stanford CS183F: Startup School Peter Reinhardt co-founder and CEO of Segment shares his experience on finding product market fit. Stanford Y Combinator How to Find Product Market Fit CS183F CS Computer Science Innovation Product Market Product Market Fit Peter Reinhardt Segment entrepreneurship entrepreneur SOE Sam Altman Stanford Y Combinator How to Find Product Market Fit CS183F CS Computer Science Innovation Product Market Product Market Fit Peter Reinhardt Segment entrepreneurship entrepreneur SOE Sam Altman" [YouTube Link](https://youtube.com/watch?v=_6pl5GG8RQ4) 2017-05-17T20:38Z 1M followers, 189.8K engagements "Stanford CS230 Autumn [----] Lecture 1: Introduction to Deep Learning For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai September [--] [----] This lecture covers: [--]. Class introduction [--]. Examples of deep learning projects [--]. Course details To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist:" [YouTube Link](https://youtube.com/watch?v=_NLHFoVNlbg) 2025-10-01T15:01Z 1M followers, 530.1K engagements "Stanford CS230 Autumn [----] Lecture 4: Adversarial Robustness and Generative Models For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai October [--] [----] This lecture covers adversarial robustness and generative models. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist:" [YouTube Link](https://youtube.com/watch?v=aWlRtOlacYM) 2025-10-21T22:43Z 1M followers, 37.6K engagements "Stanford CS231N Spring [----] Lecture 3: Regularization and Optimization For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. Regularization [--]. Stochastic Gradient Descent [--]. Momentum AdaGrad Adam [--]. Learning rate schedules To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Zane Durante PhD student at Stanford University Computer Science View the entire" [YouTube Link](https://youtube.com/watch?v=dyNGd06MWn4) 2025-09-02T22:09Z 1M followers, 41.8K engagements "Stanford CS336 Language Modeling from Scratch Spring [----] Lecture 10: Inference For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/ Percy Liang Associate Professor of Computer Science Director of Center for Research on Foundation Models (CRFM) Tatsunori Hashimoto Assistant Professor of Computer Science View the" [YouTube Link](https://youtube.com/watch?v=fcgPYo3OtV0) 2025-05-19T21:59Z 1M followers, 26.7K engagements "Stanford CS234 Reinforcement Learning I Tabular MDP Planning I [----] I Lecture [--] For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit the course website: https://web.stanford.edu/class/cs234/ Emma Brunskill Associate Professor of Computer Science at Stanford University https://cs.stanford.edu/people/ebrun/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/cs234-reinforcement-learning To view all online courses and programs offered by Stanford visit: http://online.stanford.edu" [YouTube Link](https://youtube.com/watch?v=gHdsUUGcBC0) 2024-10-30T22:38Z 1M followers, 48.4K engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Agentic LLMs For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This lecture covers: Retrieval-augmented generation Advanced RAG techniques Function calling Agents ReAct framework To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:06:38 RAG overview 00:27:39 Similarity search with SBERT and bi-encoders 00:34:25 Heuristic search with BM25 00:37:54 HyDE and contextual retrieval" [YouTube Link](https://youtube.com/watch?v=h-7S6HNq0Vg) 2025-11-18T01:31Z 1M followers, 52.8K engagements "Stanford CS330 I Variational Inference and Generative Models l [----] I Lecture [--] For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit: https://cs330.stanford.edu/ To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Chelsea Finn Computer Science PhD Plan for Today [--]. Latent variable models [--]. Variational inference [--]. Amortized variational inference [--]. Example latent variables models Goals Understand latent variable models in deep learning Understand how to use" [YouTube Link](https://youtube.com/watch?v=iL1c1KmYPM0) 2023-04-09T16:30Z 1M followers, 32.9K engagements "Stanford CS229: Machine Learning Course Lecture [--] - Andrew Ng (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Listen to the first lecture in Andrew Ng's machine learning course. This course provides a broad introduction to machine learning and statistical pattern recognition. Learn about both supervised and unsupervised learning as well as learning theory reinforcement learning and control. Explore recent applications of machine learning and design and develop algorithms for machines. Andrew Ng is an" [YouTube Link](https://youtube.com/watch?v=jGwO_UgTS7I) 2020-04-17T20:07Z 1M followers, 4.3M engagements "Stanford CS230 Autumn [----] Lecture 8: Agents Prompts and RAG For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai November [--] [----] This lecture covers agents prompts and RAG. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X NOTE: There" [YouTube Link](https://youtube.com/watch?v=k1njvbBmfsw) 2025-11-21T23:08Z 1M followers, 253.7K engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - LLM Reasoning For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This lecture covers: Reasoning models RL for reasoning GRPO Scaling To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:12:43 Reasoning models 00:27:49 Benchmarks 00:32:04 Pass@k metric 00:48:07 Scaling with RL 00:57:44 GRPO 01:06:03 Comparison between GRPO and PPO 01:16:14 Length bias 01:25:00 DAPO Dr. GRPO 01:29:38" [YouTube Link](https://youtube.com/watch?v=k5Fh-UgTuCo) 2025-11-14T19:24Z 1M followers, 33.3K engagements "Stanford CS231N Spring [----] Lecture 7: Recurrent Neural Networks For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. RNN LSTM GRU [--]. Language modeling [--]. Image captioning [--]. Sequence-to-sequence To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Zane Durante PhD student at Stanford University Computer Science View the entire course playlist:" [YouTube Link](https://youtube.com/watch?v=kG2lAPBF7zA) 2025-09-02T22:08Z 1M followers, 19K engagements "Stanford Webinar - Agentic AI: A Progression of Language Model Usage For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai In this webinar you will gain an introduction to the concept of agentic language models (LMs) and their usage. You will learn about common limitations of LMs and agentic LM usage patterns such as reflection planning tool usage and iterative LM usage. This online session will cover: Overview of LMs LM Usage and limitations Retrieval Augmented Generation (RAG) Tool usage Agentic LMs Agentic design patterns About the speaker:" [YouTube Link](https://youtube.com/watch?v=kJLiOGle3Lw) 2025-02-05T00:10Z 1M followers, 570.1K engagements "Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=kV1ru-Inzl4) 2024-03-11T15:00Z 1M followers, 149.2K engagements "Lecture [--] - Support Vector Machines Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online Stanford Graduate lecture CS229 AI Andrew Ng Stanford Stanford Online Stanford Graduate lecture CS229 AI Andrew Ng" [YouTube Link](https://youtube.com/watch?v=lDwow4aOrtg) 2020-04-17T20:09Z 1M followers, 338.9K engagements "Stanford CS231N Spring [----] Lecture 2: Image Classification with Linear Classifiers For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. The data-driven approach [--]. K-nearest neighbor [--]. Linear Classifiers [--]. Algebraic / Visual / Geometric viewpoints [--]. Softmax loss To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Fei-Fei Li Sequoia Professor of" [YouTube Link](https://youtube.com/watch?v=pdqofxJeBN8) 2025-09-02T22:09Z 1M followers, 63.1K engagements "Lecture [--] - Expectation-Maximization Algorithms Stanford CS229: Machine Learning (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html 0:00 Introduction 1:15 Unsupervised learning 1:38 First unsupervised learning algorithm 1:54 Market Segmentation 5:33 Clustering algorithm 5:37 K-means clustering 5:52 Initialize the cluster" [YouTube Link](https://youtube.com/watch?v=rVfZHWTwXSA) 2020-04-17T20:12Z 1M followers, 195.3K engagements "Stanford CS224N: NLP with Deep Learning Winter [----] Lecture [--] - Intro & Word Vectors For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3w46jar This lecture covers: [--]. The course (10min) [--]. Human language and word meaning (15 min) [--]. Word2vec algorithm introduction (15 min) [--]. Word2vec objective function gradients (25 min) [--]. Optimization basics (5min) [--]. Looking at word vectors (10 min or less) Key learning: The (really surprising) result that word meaning can be representing rather well by a large vector of real" [YouTube Link](https://youtube.com/watch?v=rmVRLeJRkl4) 2021-10-29T01:16Z 1M followers, 795.9K engagements "Program Overview - Generative AI: Technology Business & Society Recent advancements in generative AI are reshaping industries pushing technological boundaries and revolutionizing creative processes. In this fast-changing landscape it is imperative for leaders to grasp the implications of this transformation for their businesses technologies and society at large. Explore this dynamic field in this program developed by Stanford Online and Stanfords Institute for Human-Centered Artificial Intelligence (HAI). This comprehensive program covers technical fundamentals business implications and" [YouTube Link](https://youtube.com/watch?v=vf93B08v7Qs) 2024-07-31T22:27Z 1M followers, 32.7K engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Transformer-Based Models & Tricks For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: Attention approximation MHA MQA GQA Position embeddings (regular learned) RoPE and applications Transformer-based architectures BERT and its derivatives To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:01:30 Recap of Transformers 00:10:37 Overview of position embeddings" [YouTube Link](https://youtube.com/watch?v=yT84Y5zCnaA) 2025-10-17T22:08Z 1M followers, 103.8K engagements "Lecture [--] - Backprop & Improving Neural Networks Stanford CS229: Machine Learning (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Kian Katanforoosh Lecturer Computer Science To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online CS229 Stanford Stanford Online CS229" [YouTube Link](https://youtube.com/watch?v=zUazLXZZA2U) 2020-04-17T20:11Z 1M followers, 123.4K engagements "Machine Learning [--] - Linear Classifiers SGD Stanford CS221: AI (Autumn 2019) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/3nAk9O3 Topics: Linear classification Loss minimization Stochastic gradient descent Percy Liang Associate Professor & Dorsa Sadigh Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor Dorsa Sadigh Assistant Professor in" [YouTube Link](https://youtube.com/watch?v=zrT2qETJilw) 2020-01-08T19:22Z 1M followers, 467.7K engagements "Stanford CS547 HCI Seminar Winter [----] Does GenAI Work in Education For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education February [--] [----] This lecture covers: A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning An introduction to and evaluation of FeedbackWriter How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation To follow along with the seminar schedule visit: https://hci.stanford.edu/ Xu Wang is an Assistant" [YouTube Link](https://youtube.com/watch?v=IydslKdqzYo) 2026-02-13T18:17Z 1M followers, [----] engagements "Stop second-guessing high-stakes decisions. Make product decisions you can stand behind. Learn how to run effective experiments and translate the results into actionable insights that drive better product outcomes. Learn to: - Design experiments that answer real questions - Extract causal insights from messy data - Leverage AI for faster testing - Turn results into a clear strategy This course empowers product leaders designers and builders to leverage data science without becoming statisticians. Learn more about the course: https://stanford.io/4kBTRrW #ProductDevelopment #DataScience" [YouTube Link](https://youtube.com/watch?v=mG-PBK_CZR4) 2026-02-11T22:49Z 1M followers, [----] engagements "Stanford Robotics Seminar ENGR319 Winter [----] Bringing AI Up To Speed For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This seminar covers: How to refine testing methodologies to advance the safety of autonomous vehicles How high-speed autonomous racing provides a unique proving ground to test the boundaries of AIs physical capabilities How racing at high speeds and in close proximity to other vehicles exposes unsolved challenges in perception planning and control To follow along with the seminar schedule visit:" [YouTube Link](https://youtube.com/watch?v=NMFyMlwmwP8) 2026-02-11T00:21Z 1M followers, [----] engagements "Stanford CS547 HCI Seminar Winter [----] Creation Evolution and Formalization of Notations For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: Common patterns and stages for the development of notations across computational scientific and artistic fields The role of cultural context linking and grounding metaphors and cognitive processes of analogical alignment Building a more pluralistic future for human-AI communication To follow along with the seminar schedule visit: https://hci.stanford.edu/ Ian" [YouTube Link](https://youtube.com/watch?v=5p9VOzJAmW8) 2026-02-11T00:12Z 1M followers, [----] engagements "Course Overview: Mastering Difficult Conversations with AI Course details: https://stanford.io/4qjWTCk Think back to the first time you had to tell a direct report their work wasnt good enough or persuade your supervisor to change course. For most new managers those difficult conversations might not have gone as planned. But research shows these early moments can shape the trajectory of your entire career. The good news is you dont have to wait for the next high-stakes conversation to get it right. In this course Stanford faculty combine decades of research with the emergent superpowers of" [YouTube Link](https://youtube.com/watch?v=WL08n97t3Ug) 2026-02-05T18:49Z 1M followers, [----] engagements "New Course: Mastering Difficult Conversations with AI The difficult conversations you're avoiding You can practice them first. Confront toxic behavior Motivate disengaged talent Push back on your boss all in a low-stakes rehearsal space with AI coaching. Learn more and enroll: https://stanford.io/49VsoxE Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=Eorjmb0--IM) 2026-02-03T18:14Z 1M followers, [----] engagements "Stanford Webinar - Human-Centered AI: Designing Systems People Trust View the details of our Generative AI: Technology Business and Society Program https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Tune into this engaging discussion with Professor James Landay Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Vanessa Parli Managing Director of Programs and External Engagement for Stanford HAI. Explore how to design AI systems that enhance human capabilities and earn stakeholder trust and discover insights from" [YouTube Link](https://youtube.com/watch?v=5UJ0uWqO1Ho) 2026-02-02T20:36Z 1M followers, [----] engagements "Innovation for Growth and Sustainability in the Era of AI Join Professor Mike Lepech and Jeff Wong former Ernst & Young Global Chief Innovation Officer as they discuss scaling innovation in today's AI-powered business environment. They uncover what it takes to lead transformation while balancing performance and purpose and share practical insights from leaders operating at the intersection of strategy technology and sustainability. The session features a fireside chat an interactive Q&A and a brief overview of Stanford Doerr School of Sustainabilitys Executive Education program for Summer" [YouTube Link](https://youtube.com/watch?v=LF7Wi_2fJVM) 2026-02-02T16:33Z 1M followers, [----] engagements "Stanford Robotics Seminar ENGR319 Winter [----] Autonomous Navigation in Outdoor Environments For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] Autonomous Navigation in Complex Outdoor Environments: Towards Companion Robots for Longevity This seminar covers: Deploying mobile robots in unstructured outdoor environments Robots going beyond simple navigation to also understand human behavior and enhance personal mobility Previous approaches for long-range outdoor navigation with a focus on scene understanding and planning A" [YouTube Link](https://youtube.com/watch?v=o5bW3C5OD6U) 2026-01-30T18:26Z 1M followers, [----] engagements "AI in Healthcare Series: You Cant Delegate AI with Andy Slavitt Learn more about Stanford's online Healthcare AI programs: https://online.stanford.edu/artificial-intelligence/ai-professionals-healthcare Check out the AI in Healthcare series playlist: https://bit.ly/AI-in-Healthcare-YT-Series Matt Lungren Stanford University - https://profiles.stanford.edu/matthew-lungren Justin Norden Stanford University - https://med.stanford.edu/profiles/justin-norden Guest Speaker: Andy Slavitt Co-Founder and General Partner at Town Hall Ventures This episode explores the rapid bottomup adoption of AI in" [YouTube Link](https://youtube.com/watch?v=KGl076xkxG4) 2026-01-29T17:37Z 1M followers, [----] engagements "Stanford CS547 HCI Seminar Winter [----] Visual and Algorithmic Interpretation for Responsible AI For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: Visual and algorithmic tools that make sense of AI behaviors and risks AI vulnerabilities and innovative countermeasures To follow along with the seminar schedule visit: https://hci.stanford.edu/ Duen Horng (Polo) Chau is a Professor at Georgia Techs School of Computational Science and Engineering holding a Machine Learning Ph.D. from Carnegie Mellon" [YouTube Link](https://youtube.com/watch?v=u74gb_DCtzo) 2026-01-26T21:14Z 1M followers, [----] engagements "Stanford Robotics Seminar ENGR319 Winter [----] Resilient Autonomy For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This seminar covers: Resilient autonomy for extreme and uncertain environments Approaches progress and results on multi-modal sensing Nuanced perception inputs Navigation in difficult terrain Future directions of our research To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Sebastian Scherer Associate Research Professor at the Robotics Institute at Carnegie" [YouTube Link](https://youtube.com/watch?v=PYh9k4cy25w) 2026-01-23T22:25Z 1M followers, [----] engagements "Stanford Robotics Seminar ENGR319 Winter [----] Robot Motion Learning w/Physics-Based PDE Priors For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This seminar covers: How partial differential equation (PDE)based physics priors can provide a foundation for scalable and generalizable algorithms in robot motion learning An introduction to an HJ PDEderived mapping representation that unifies perception and planning To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Ahmed H." [YouTube Link](https://youtube.com/watch?v=RKFRO_G4YkA) 2026-01-16T18:01Z 1M followers, [----] engagements "Stanford CS547 HCI Seminar Winter [----] LLM Chatbots in the Online Social World For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: How the ongoing integration of LLMs into our social worlds is creating new risks and opportunities Best practices for designing rehabilitative bots To follow along with the seminar schedule visit: https://hci.stanford.edu/ Jeremy Foote is an Assistant Professor in the Brian Lamb School of Communication at Purdue University and a faculty member in the Community Data Science" [YouTube Link](https://youtube.com/watch?v=IH-hRdNMIq0) 2026-01-15T22:40Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L16: Shapes Gestures Persistence View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 16th and final lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Covers miscellaneous topics like creating custom Shapes using GeometryReader multi-touch gesture handling and persistence alternatives to SwiftData (e.g. the file system). Paul Hegarty is a Lecturer who has been teaching CS193p at" [YouTube Link](https://youtube.com/watch?v=skECWIKpBVY) 2025-12-18T21:59Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L15: Multithreading View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 15th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Multithreading fundamentals including the MainActor background queues and async/await patterns but first the lecture finishes off some SwiftData topics including complex sorting options for completed games and advanced predicate queries that traverse" [YouTube Link](https://youtube.com/watch?v=F0nefFT2Uik) 2025-12-18T21:53Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L14: SwiftData Demonstration View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 14th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Continues the SwiftData implementation. Implements more complex database queries with predicates that join multiple tables and handle the differences between computed properties and stored database fields. Uses NotificationCenter publishers for" [YouTube Link](https://youtube.com/watch?v=1PDZl0LPryw) 2025-12-18T21:49Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L13: SwiftData View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 13th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Using SwiftData to make an app's data persistent. Shows how to convert a Model from structs to @Model classes. Explains the restrictions on @Model var types (primitives other @Models Codables Arrays) using @Relationship annotations for table relationships and" [YouTube Link](https://youtube.com/watch?v=k9wjAdgUY0A) 2025-12-18T20:57Z 1M followers, [----] engagements "Climate Innovation: Digital Technology for Sustainable Agriculture and Infrastructure Development Join Professor Rishee Jain and Dave Farnham as they unpack how AI is transforming building energy analysis and climate solutions. Jain discusses the intersection of civil engineering data analytics and social science in building energy usage and how he applies AI to his research. Farnham shares his company's AI-driven approaches to climate challenges. The session features lightning talks an interactive Q&A and a brief overview of Stanford Doerr School of Sustainabilitys External Education" [YouTube Link](https://youtube.com/watch?v=_B8aNrsy09Y) 2025-12-17T22:15Z 1M followers, [----] engagements "AI and Climate: From Grids to Data Centers AI Strategy & Innovation Join Professor Ines Azevedo and Kion Ahadi as they unpack how AI is accelerating efficiency and innovation across energy grids data centers and sustainability initiatives. The session includes lightning talks and an interactive Q&A. It also features a quick overview of Stanford Doerr School of Sustainabilitys External Education programs for Spring and Summer [----] including: - AI and Climate Master Class (1 day on the Stanford campus) https://stanford.io/4pJfKXV - Climate Innovation Master Class (1/2 day on the Stanford" [YouTube Link](https://youtube.com/watch?v=vaRO69Qv_hc) 2025-12-17T22:01Z 1M followers, [----] engagements "Stanford Robotics Seminar ENGR319 Autumn [----] The Dynamics of Fluid Physical Interaction For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This seminar covers: The dynamics of fluid physical interaction How to make robots safe adaptive and compliant To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Nadia Figueroa Ph.D. Shalini and Rajeev Misra Presidential Assistant Professor in the Mechanical Engineering and Applied Mechanics (MEAM) Department at the University of" [YouTube Link](https://youtube.com/watch?v=zdCJyn1OY-4) 2025-12-17T20:00Z 1M followers, [----] engagements "Stanford CS547 HCI Seminar Autumn [----] Tracing and Shaping Paths in Design Space For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This lecture covers: Making sense of user interactions with creativity support tools How AI-supported evaluation methods can help us illuminate a design tool's expressive range; trace user trajectories through design space; and potentially even intervene to shape these trajectories while the interaction is still unfolding To follow along with the seminar schedule visit:" [YouTube Link](https://youtube.com/watch?v=B9WsVMGtIuk) 2025-12-17T01:14Z 1M followers, [----] engagements "Stanford CS230 Autumn [----] Lecture 9: Career Advice in AI For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai November [--] [----] This lecture covers career advice and a guest speaker. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X Guest Speaker Laurence Moroney Best-selling AI" [YouTube Link](https://youtube.com/watch?v=AuZoDsNmG_s) 2025-12-17T00:44Z 1M followers, 268.7K engagements "Stanford CS230 Autumn [----] Lecture 10: Whats Going On Inside My Model For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai December [--] [----] This lecture covers what's happening inside your model and provides a class wrap-up. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X Andrew" [YouTube Link](https://youtube.com/watch?v=Ozb1AR_F5MU) 2025-12-15T23:32Z 1M followers, 16.6K engagements "Stanford Robotics Seminar ENGR319 Autumn [----] Next Generation Dexterous Manipulation For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This seminar examines the critical barriers that continue to limit progress toward general-purpose robotic manipulation and discusses the catalyst problems that currently prevent robots from operating effectively at scale in domestic industrial and agricultural settings. To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Monroe Kennedy III" [YouTube Link](https://youtube.com/watch?v=v18Jo2ILXZ8) 2025-12-11T22:22Z 1M followers, [----] engagements "Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Recap & Current Trends For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This lecture covers: Recap Trending topics Closing thoughts To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:01:12 Transformer 00:06:35 Transformer-based models & tricks 00:11:17 Large Language Models 00:15:05 LLM training 00:24:09 LLM tuning 00:29:41 LLM reasoning 00:38:37 Agentic LLMs (RAG tool calling)" [YouTube Link](https://youtube.com/watch?v=Q86qzJ1K1Ss) 2025-12-09T20:43Z 1M followers, 78.9K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 1: Class Intro View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Class introduction Markov Decisions Processes Why study deep reinforcement learning Intro to modeling behavior and reinforcement learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor" [YouTube Link](https://youtube.com/watch?v=EvHRQhMX7_w) 2025-12-08T19:34Z 1M followers, 60.6K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 2: Imitation Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Imitation learning basics Learning expressive policy distributions Learning from online interventions To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and" [YouTube Link](https://youtube.com/watch?v=WxRDyObrm_M) 2025-12-08T19:34Z 1M followers, 12.9K engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 3: Policy Gradients View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] Key intuition behind policy gradients How to implement when to use policy gradients To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University" [YouTube Link](https://youtube.com/watch?v=KCAOXd4IO9o) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 4: Actor-Critic Methods View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: How to estimate how good a state and action are for a policy How to use those estimates to form a more efficient RL algorithm To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in" [YouTube Link](https://youtube.com/watch?v=oejFZShW9hU) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 5: Off-Policy Actor Critic View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Off-policy actor critic methods All of the key concepts for practical algorithms like PPO and SAC To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and" [YouTube Link](https://youtube.com/watch?v=cRGKc-nAWho) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 6: Q-Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: How Q-functions relate to policies How to do RL without learning an explicit policy How to stabilize Q-learning in practice To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer" [YouTube Link](https://youtube.com/watch?v=-7kv6jf0isQ) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 7: Offline RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Key challenges arising in offline reinforcement learning Two approaches for offline RL (& why they work) How offline RL can improve over imitation learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn" [YouTube Link](https://youtube.com/watch?v=lRDaXnPIzks) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 8: Reward Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Why task specification is hard (& why nave methods fail) Methods for learning rewards from human supervision To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and" [YouTube Link](https://youtube.com/watch?v=PDIxDhA9Z6Y) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 9: RL for LLMs View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This guest lecture covers RL for LLMs: preference optimization. To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Archit Sharma Researcher on Gemini team Lead author of DPO Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=XKLGuwvSKvI) 2025-12-08T19:34Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 10: RL for LLM Reasoning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers reinforcement learning for LLM reasoning. To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Aviral Kumar Professor at Carnegie Mellon University Stanford Stanford Online Stanford Stanford Online" [YouTube Link](https://youtube.com/watch?v=O2VpNnwB4lM) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 11: Model-Based RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: How to learn and use dynamic models The key challenges and trade-offs arising in model-based RL To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical" [YouTube Link](https://youtube.com/watch?v=PvqyGnOirgA) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 12: Multi-Task RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Multi-task and goal-conditioned reinforcement learning Model-based reinforcement learning Multi-task imitation and reinforcement learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor" [YouTube Link](https://youtube.com/watch?v=qNdsI_4AQJw) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 13: Meta RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Meta-RL problem statement Black-box meta-RL methods To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi." [YouTube Link](https://youtube.com/watch?v=wSiyEpvoGkA) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 14: Exploration View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Exploration Learning to Explore via Meta-Learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of" [YouTube Link](https://youtube.com/watch?v=4tlSKdi8teU) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 15: Hierarchical RL and IL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Whats the problem Key design choices Example systems To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and" [YouTube Link](https://youtube.com/watch?v=iKWYLSVAtfM) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 16: RL for Robots View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Why arent robots autonomous already Defining the problem: autonomous RL Developing the algorithms To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical" [YouTube Link](https://youtube.com/watch?v=rbaWQQLrzl0) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 17: Advancing Robot Intelligence View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Advancing robot intelligence with reinforcement learning What is reinforcement learning What has reinforcement learning achieved To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Ashish Kumar AI Lead Tesla" [YouTube Link](https://youtube.com/watch?v=Hp1WBWghrak) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 18: Frontiers View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Problem set-up Methods Deployment & Evaluation To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi." [YouTube Link](https://youtube.com/watch?v=FacJ_1tTSx4) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS224R Deep Reinforcement Learning Spring [----] Tutorial Session: Review of Q-Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This tutorial covers: Review of Markov Decision Processes (MDP) Exact MDPs Parametric Q-Learning Practical Details Q-Learning/Actor Critic Algorithm Walkthrough To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Anikait Singh" [YouTube Link](https://youtube.com/watch?v=07MQNMcxhZU) 2025-12-08T19:33Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L12: Even More Complex UIs View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 12th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Building modal interfaces and reusable View components. Creates a PegChoicesChooserView for editing game peg count and colors. Demonstrates how to control sheet presentation with isPresented bindings and creating game editors with proper data" [YouTube Link](https://youtube.com/watch?v=gNok5P7HLCw) 2025-12-03T21:02Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L11: iPad and Mac View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 11th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Make CodeBreaker work across multiple platforms (iPhone iPad Mac) using NavigationSplitView. Demonstrates converting NavigationStack to NavigationSplitView for side-by-side Views on larger screens. Along the way covers understanding size classes (compact vs" [YouTube Link](https://youtube.com/watch?v=PXcl5cjVNT0) 2025-12-03T21:01Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L10: Building Complex UIs View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 10th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). CodeBreaker is enhanced to be able to show multiple games. Enhancing an app's architecture to display multiple Views. Implements a GameChooser View with List demonstrating @State management at the app root level and implementing named CodeBreaker" [YouTube Link](https://youtube.com/watch?v=NnJ91M9PRYo) 2025-12-03T21:00Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L9: Protocols View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 9th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). The 9th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). More Animation. Implements elapsed time tracking to demonstrate more about animation and other Swift features. Includes implementing a custom" [YouTube Link](https://youtube.com/watch?v=o3D3rqh-IVA) 2025-12-03T21:00Z 1M followers, [----] engagements "Stanford CS193p: iOS Development with SwiftUI [----] L8: Animation Demonstration View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 8th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Animation. Demonstrates explicit animation with withAnimation() creating custom animation constants using extensions on Animation struct and debugging animation issues by slowing down timing. To demonstrate animation a restart functionality is" [YouTube Link](https://youtube.com/watch?v=OZK7_p1G8Pw) 2025-12-03T20:59Z 1M followers, [----] engagements Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing
@stanfordonline Stanford Online
Stanford Online posts on YouTube about ai, deep, artificial intelligence, science the most. They currently have [---------] followers and [---] posts still getting attention that total [------] engagements in the last [--] hours.
Engagements: [------] #
- [--] Week [-------] +14%
- [--] Month [---------] -23%
- [--] Months [----------] +93%
- [--] Year [----------] +234%
Mentions: [---] #
- [--] Week [---] +29%
- [--] Month [---] +4.90%
- [--] Months [---] +36%
- [--] Year [---] +170%
Followers: [---------] #
- [--] Week [---------] no change
- [--] Month [---------] +2%
- [--] Months [---------] +24%
- [--] Year [---------] +42%
CreatorRank: [-------] #
Social Influence
Social category influence technology brands 8.2% finance 6.56% vc firms #221 social networks 2.19% products 1.09% stocks 0.55% countries 0.55% currencies 0.55%
Social topic influence ai #4250, deep #4134, artificial intelligence #166, science #2348, education #2349, how to 13.11%, llm #86, generative #40, topics #736, business #3552
Top accounts mentioned or mentioned by @onurmutlulectures @binding @state @mainactor @bindable @observable @model @models @relationship @transient @environmentmodelcontext @viewbuilder @escaping @stanfordedu
Top Social Posts
Top posts by engagements in the last [--] hours
"Artificial Intelligence Professional Program Overview The Artificial Intelligence Professional Program is designed for working professionals who want to explore AI topics at graduate-level depth but with flexibility of schedule and scope. Courses in the program are adapted from lectures and materials delivered in on-campus Stanford graduate courses. For more information about Stanford's Artificial Intelligence Professional Program visit: https://online.stanford.edu/programs/artificial-intelligence-professional-program Stanford Stanford Online Artificial Intelligence AI Stanford Stanford"
YouTube Link 2023-11-29T20:35Z 1M followers, 56.6K engagements
"Stanford CS547 HCI Seminar Winter [----] Does GenAI Work in Education For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education February [--] [----] This lecture covers: A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning An introduction to and evaluation of FeedbackWriter How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation To follow along with the seminar schedule visit: https://hci.stanford.edu/ Xu Wang is an Assistant"
YouTube Link 2026-02-13T18:17Z 1M followers, [----] engagements
"Stanford CS224W: ML with Graphs [----] Lecture [---] - Traditional Feature-based Methods: Graph For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/3vLi05C Traditional Feature-based Methods: Graph-level features Jure Leskovec Computer Science PhD In this video we focus on extracting features from the graphs as a whole. In other words we want features that characterize the structure of entire graphs. Specifically were interested in graph kernel methods that measure the similarity between two graphs. Well describe different"
YouTube Link 2021-04-15T18:25Z 1M followers, 94.9K engagements
"Stop second-guessing high-stakes decisions. Make product decisions you can stand behind. Learn how to run effective experiments and translate the results into actionable insights that drive better product outcomes. Learn to: - Design experiments that answer real questions - Extract causal insights from messy data - Leverage AI for faster testing - Turn results into a clear strategy This course empowers product leaders designers and builders to leverage data science without becoming statisticians. Learn more about the course: https://stanford.io/4kBTRrW #ProductDevelopment #DataScience"
YouTube Link 2026-02-11T22:49Z 1M followers, [----] engagements
"Overview Artificial Intelligence Course Stanford CS221: Learn AI (Autumn 2019) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/3meRgaI Topics: Overview of course Optimization Percy Liang Associate Professor & Dorsa Sadigh Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor Dorsa Sadigh Assistant Professor in the Computer Science Department &"
YouTube Link 2020-01-06T23:49Z 1M followers, 722.1K engagements
"Stanford Robotics Seminar ENGR319 Winter [----] Bringing AI Up To Speed For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This seminar covers: How to refine testing methodologies to advance the safety of autonomous vehicles How high-speed autonomous racing provides a unique proving ground to test the boundaries of AIs physical capabilities How racing at high speeds and in close proximity to other vehicles exposes unsolved challenges in perception planning and control To follow along with the seminar schedule visit:"
YouTube Link 2026-02-11T00:21Z 1M followers, [----] engagements
"Stanford CS230: Deep Learning Autumn [----] Lecture [--] - Class Introduction & Logistics Andrew Ng For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3eJW8yT Andrew Ng is an Adjunct Professor Computer Science at Stanford University. Kian Katanforoosh is a Lecturer Computer Science at Stanford University. To follow along with the course schedule and syllabus visit: http://cs230.stanford.edu/ Chapters: 0:00 Intro 3:30 Why is deep learning taking off 8:55 Tools of AI 12:50 Course Goals 19:37 Machine Learning Yearning 21:03"
YouTube Link 2019-03-21T20:01Z 1M followers, 809.9K engagements
"Stanford CS336 Language Modeling from Scratch Spring [----] Lec. 2: Pytorch Resource Accounting For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/ Percy Liang Associate Professor of Computer Science Director of Center for Research on Foundation Models (CRFM) Tatsunori Hashimoto Assistant Professor of Computer Science"
YouTube Link 2025-04-10T21:14Z 1M followers, 125.7K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 6: Q-Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: How Q-functions relate to policies How to do RL without learning an explicit policy How to stabilize Q-learning in practice To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Tutorial Session: Review of Q-Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This tutorial covers: Review of Markov Decision Processes (MDP) Exact MDPs Parametric Q-Learning Practical Details Q-Learning/Actor Critic Algorithm Walkthrough To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Anikait Singh"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Day in the Life of a Product Manager Stanford Online Product Management What does a product manager REALLY do and how does their work impact an organization See what your day-to-day might look like as a PM. Prasant Lokinendi a Principal Product Manager with 10+ years of experience and one of our accelerated PM Program Coaches walks us through a typical day of meetings strategy and collaboration. Interested in learning more about core product management skills and getting career advice and insights from coaches like Prasant Check out our 10-week program. https://stanford.io/AcceleratedPM"
YouTube Link 2023-07-12T17:30Z 1M followers, 68.7K engagements
"Stanford CS231N Deep Learning for Computer Vision Spring [----] Lecture 1: Introduction For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. Computer vision overview [--]. Course overview [--]. Course logistics To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Fei-Fei Li Sequoia Professor of Computer Science and a Founding Co-Director of Stanfords"
YouTube Link 2025-09-02T22:09Z 1M followers, 410.3K engagements
"Stanford CS224W: ML with Graphs [----] Lecture [---] - Traditional Feature-based Methods: Node For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/2ZnSo2T Traditional Feature-based Methods: Node-level features Jure Leskovec Computer Science PhD Starting from this video well be discussing the techniques on traditional graph machine learning especially how to extract features at different levels of graphs. In this video we talk about node level features and their applications. Node level features focus on characteristics of"
YouTube Link 2021-04-15T18:04Z 1M followers, 151.3K engagements
"Stanford CS25: V4 I Jason Wei & Hyung Won Chung of OpenAI April [--] [----] Speakers: Jason Wei & Hyung Won Chung OpenAI Intuitions on Language Models (Jason) Jason will talk about some basic intuitions on language models inspired by manual examination of data. First he will discuss how one can view next word prediction as massive multi-task learning. Then he will discuss how this framing reconciles scaling laws with emergent individual tasks. Finally he will talk about the more general implications of these learnings. Slides here:"
YouTube Link 2024-05-06T15:28Z 1M followers, 202.8K engagements
"Stanford CS230 Autumn [----] Lecture 9: Career Advice in AI For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai November [--] [----] This lecture covers career advice and a guest speaker. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X Guest Speaker Laurence Moroney Best-selling AI"
YouTube Link 2025-12-17T00:44Z 1M followers, 268.7K engagements
"Stanford CS234: Reinforcement Learning Winter [----] Lecture [--] - Introduction - Emma Brunskill For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Professor Emma Brunskill Stanford University https://stanford.io/3eJW8yT Professor Emma Brunskill Assistant Professor Computer Science Stanford AI for Human Impact Lab Stanford Artificial Intelligence Lab Statistical Machine Learning Group To follow along with the course schedule and syllabus visit: http://web.stanford.edu/class/cs234/index.html #EmmaBrunskill"
YouTube Link 2019-03-30T05:04Z 1M followers, 747.4K engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L8: Animation Demonstration View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 8th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Animation. Demonstrates explicit animation with withAnimation() creating custom animation constants using extensions on Animation struct and debugging animation issues by slowing down timing. To demonstrate animation a restart functionality is"
YouTube Link 2025-12-03T20:59Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 8: Reward Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Why task specification is hard (& why nave methods fail) Methods for learning rewards from human supervision To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Tranformers & Large Language Models For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: Definition and architecture Mixture of experts Context length temperature Sampling strategies Prompting in-context learning Chain of thought Self-consistency To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:01:02 Recap of Transformers-based models 00:03:43 LLM definition"
YouTube Link 2025-10-17T22:08Z 1M followers, 56.9K engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L7: Animation View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 7th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Generics and custom View modifiers. Refactors the CodeView to accept any ancillary View (like MatchMarkers or guess buttons) using generics with constraints (AncillaryView: View). Demonstrates how to pass an @Binding parameter to a View's init implementing"
YouTube Link 2025-12-03T20:58Z 1M followers, [----] engagements
"Stanford CS336 Language Modeling from Scratch Spring [----] Lecture 1: Overview and Tokenization For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/ Percy Liang Associate Professor of Computer Science Director of Center for Research on Foundation Models (CRFM) Tatsunori Hashimoto Assistant Professor of Computer"
YouTube Link 2025-04-24T14:29Z 1M followers, 472.1K engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - LLM Training For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: Pretraining Quantization Hardware optimization Supervised finetuning (SFT) Parameter-efficient finetuning (LoRA) To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:07:19 Pretraining 00:13:26 FLOPs FLOPS 00:16:34 Scaling laws Chinchilla law 00:24:49 Training optimizations overview 00:31:09 Data"
YouTube Link 2025-10-21T23:56Z 1M followers, 52.7K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 2: Imitation Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Imitation learning basics Learning expressive policy distributions Learning from online interventions To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and"
YouTube Link 2025-12-08T19:34Z 1M followers, 12.9K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 9: RL for LLMs View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This guest lecture covers RL for LLMs: preference optimization. To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Archit Sharma Researcher on Gemini team Lead author of DPO Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Jen-Hsun Huang: Stanford student and Entrepreneur co-founder and CEO of NVIDIA For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Every successful thing needs to be torn down and rebuilt. In more of an intimate conversation than a lecture Huang relates his experience as an engineer entrepreneur and innovator. Find out how he meets the ever-constant challenge of re-invention as co-founder and CEO of NVIDIA. Check out our entire catalog of courses and programs: https://online.stanford.edu/explore Jen Hsun Huang nvidia stanford entrepreneurship"
YouTube Link 2011-06-23T20:20Z 1M followers, 757.1K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 5: Off-Policy Actor Critic View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Off-policy actor critic methods All of the key concepts for practical algorithms like PPO and SAC To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"What advice do you have for getting started in AI & Machine Learning - Fei-Fei Li & Andrew Ng Stanford Professor Fei-Fei Li talks with Andrew about how the field of AI is now accessible to people from many different backgrounds. If youre considering a career in AI the Machine Learning Specialization developed by DeepLearning.AI and Stanford Online is the perfect place to start. Get more info at https://stanford.io/3HEj56q #shorts #ai #machinelearning Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2023-05-10T13:00Z 1M followers, 58.8K engagements
"Lecture [--] - GDA & Naive Bayes Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online Andrew Ng Cs229 AI Artificial Intelligence Stanford Stanford Online Andrew Ng Cs229 AI Artificial Intelligence"
YouTube Link 2020-04-17T20:09Z 1M followers, 387.1K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 4: Actor-Critic Methods View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: How to estimate how good a state and action are for a policy How to use those estimates to form a more efficient RL algorithm To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 13: Meta RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Meta-RL problem statement Black-box meta-RL methods To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi."
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L14: SwiftData Demonstration View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 14th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Continues the SwiftData implementation. Implements more complex database queries with predicates that join multiple tables and handle the differences between computed properties and stored database fields. Uses NotificationCenter publishers for"
YouTube Link 2025-12-18T21:49Z 1M followers, [----] engagements
"Stanford Seminar - Designing bioinspired aerial robots with feathered morphing wings Laura Matloff Stanford March [--] [----] Birds are a source of design inspiration for aerial robots as they can still outmaneuver current man-made fliers of similar size and weight. I study their ability to seamlessly morph their wings through large shape changes during gliding flight and use biological measurements to drive mechanical design. I measure the wing feather and bone kinematics investigate adjacent feather interactions and examine feather microstructures to inform the design of PigeonBot a biohybrid"
YouTube Link 2020-03-17T16:38Z 1M followers, 19.1K engagements
"Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2024-03-12T15:00Z 1M followers, 58.8K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 14: Exploration View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Exploration Learning to Explore via Meta-Learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS547 HCI Seminar Winter [----] Creation Evolution and Formalization of Notations For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: Common patterns and stages for the development of notations across computational scientific and artistic fields The role of cultural context linking and grounding metaphors and cognitive processes of analogical alignment Building a more pluralistic future for human-AI communication To follow along with the seminar schedule visit: https://hci.stanford.edu/ Ian"
YouTube Link 2026-02-11T00:12Z 1M followers, [----] engagements
"Stanford CS547 HCI Seminar Autumn [----] Tracing and Shaping Paths in Design Space For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This lecture covers: Making sense of user interactions with creativity support tools How AI-supported evaluation methods can help us illuminate a design tool's expressive range; trace user trajectories through design space; and potentially even intervene to shape these trajectories while the interaction is still unfolding To follow along with the seminar schedule visit:"
YouTube Link 2025-12-17T01:14Z 1M followers, [----] engagements
"New Course: Mastering Difficult Conversations with AI The difficult conversations you're avoiding You can practice them first. Confront toxic behavior Motivate disengaged talent Push back on your boss all in a low-stakes rehearsal space with AI coaching. Learn more and enroll: https://stanford.io/49VsoxE Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2026-02-03T18:14Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L15: Multithreading View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 15th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Multithreading fundamentals including the MainActor background queues and async/await patterns but first the lecture finishes off some SwiftData topics including complex sorting options for completed games and advanced predicate queries that traverse"
YouTube Link 2025-12-18T21:53Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 18: Frontiers View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Problem set-up Methods Deployment & Evaluation To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi."
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 17: Advancing Robot Intelligence View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Advancing robot intelligence with reinforcement learning What is reinforcement learning What has reinforcement learning achieved To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Ashish Kumar AI Lead Tesla"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS547 HCI Seminar Winter [----] LLM Chatbots in the Online Social World For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: How the ongoing integration of LLMs into our social worlds is creating new risks and opportunities Best practices for designing rehabilitative bots To follow along with the seminar schedule visit: https://hci.stanford.edu/ Jeremy Foote is an Assistant Professor in the Brian Lamb School of Communication at Purdue University and a faculty member in the Community Data Science"
YouTube Link 2026-01-15T22:40Z 1M followers, [----] engagements
"Stanford CS547 HCI Seminar Autumn [----] What Is a (Future) Designer For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: What a designer is today and what the designer of tomorrow will become How design can transcend traditional categories to shape emerging technologies and ecological futures To follow along with the seminar schedule visit: https://hci.stanford.edu/ Lining Yao is an Assistant Professor of Mechanical Engineering at the University of California Berkeley where she directs the Morphing"
YouTube Link 2025-11-17T21:46Z 1M followers, [----] engagements
"Stanford CS105: Intro to Computers [----] Lecture [---] Bits Bytes & Binary: It's all about [--] & [--] Patrick Young Computer Science PhD This course is a survey of Internet technology and the basics of computer hardware. You will learn what computers are and how they work and gain practical experience in the development of websites and an introduction to programming. To follow along with the course and download the syllabus visit: http://web.stanford.edu/class/cs105/ To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Patrick Young Stanford CS105 Introduction"
YouTube Link 2021-08-05T21:08Z 1M followers, 35.1K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 11: Model-Based RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: How to learn and use dynamic models The key challenges and trade-offs arising in model-based RL To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Statistical Learning: 2.Py Setting Up Python I [----] Statistical Learning featuring Deep Learning Survival Analysis and Multiple Testing Trevor Hastie Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie Robert Tibshirani Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani Jonathan Taylor Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor You are able to take Statistical Learning as"
YouTube Link 2023-12-05T18:58Z 1M followers, 26.1K engagements
"Course Overview: Mastering Difficult Conversations with AI Course details: https://stanford.io/4qjWTCk Think back to the first time you had to tell a direct report their work wasnt good enough or persuade your supervisor to change course. For most new managers those difficult conversations might not have gone as planned. But research shows these early moments can shape the trajectory of your entire career. The good news is you dont have to wait for the next high-stakes conversation to get it right. In this course Stanford faculty combine decades of research with the emergent superpowers of"
YouTube Link 2026-02-05T18:49Z 1M followers, [----] engagements
"Stanford CS234 Reinforcement Learning I Q learning and Function Approximation I [----] I Lecture [--] For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit the course website: https://web.stanford.edu/class/cs234/ Emma Brunskill Associate Professor of Computer Science at Stanford University https://cs.stanford.edu/people/ebrun/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/cs234-reinforcement-learning To view all online courses and programs offered by Stanford visit:"
YouTube Link 2024-10-30T22:38Z 1M followers, 17.1K engagements
"Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2024-03-16T15:00Z 1M followers, 16K engagements
"Stanford Seminar - What can HCI learn from Architecture about interaction David Kirsh UC San Diego January [--] [----] Architects design structures for people to dwell in to inhabit. They support social as well as physical interaction. HCI so far has concentrated on designing interfaces primarily for people to monitor and control systems. The two fields HCI and Architecture - operate with different notions of what an interface is and what interaction means. I begin with a quick look at the properties of interfaces and the concept of interaction those properties support. This shows that there are"
YouTube Link 2020-01-27T23:48Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 15: Hierarchical RL and IL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Whats the problem Key design choices Example systems To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 7: Offline RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Key challenges arising in offline reinforcement learning Two approaches for offline RL (& why they work) How offline RL can improve over imitation learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Statistical Learning: 3.Py Linear Regression and statsmodels Package I [----] Statistical Learning featuring Deep Learning Survival Analysis and Multiple Testing Trevor Hastie Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie Robert Tibshirani Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani Jonathan Taylor Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor You are able to take"
YouTube Link 2023-12-05T18:58Z 1M followers, 12.9K engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L9: Protocols View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 9th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). The 9th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). More Animation. Implements elapsed time tracking to demonstrate more about animation and other Swift features. Includes implementing a custom"
YouTube Link 2025-12-03T21:00Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 12: Multi-Task RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Multi-task and goal-conditioned reinforcement learning Model-based reinforcement learning Multi-task imitation and reinforcement learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS149 I Parallel Computing I [----] I Lecture [--] - GPU architecture and CUDA Programming CUDA programming abstractions and how they are implemented on modern GPUs To follow along with the course visit the course website: https://gfxcourses.stanford.edu/cs149/fall23/ Kayvon Fatahalian Associate Professor of Computer Science Stanford University https://graphics.stanford.edu/kayvonf/ Kunle Olukotun Cadence Design Systems Professor Professor of Electrical Engineering and of Computer Science Stanford University https://engineering.stanford.edu/people/oyekunle-olukotun Learn more about the"
YouTube Link 2024-09-18T14:30Z 1M followers, 26K engagements
"Stanford CS224W: ML with Graphs [----] Lecture [---] - Matrix Factorization and Node Embeddings For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/2XRqWKq Jure Leskovec Computer Science PhD In the last part of this lecture we switch gears a bit and discuss matrix factorization method for generating node embeddings. Specifically we discuss how previously mentioned methods for learning node embeddings connect to methods in matrix factorization. With these intuitions we then present [--] limitations with embedding methods based on"
YouTube Link 2021-04-22T18:14Z 1M followers, 45.6K engagements
"Statistical Learning: [----] Model Evaluation and Further Topics Statistical Learning featuring Deep Learning Survival Analysis and Multiple Testing Trevor Hastie Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie Robert Tibshirani Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani Jonathan Taylor Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor You are able to take Statistical"
YouTube Link 2022-10-07T17:39Z 1M followers, [----] engagements
"How to Build a Product IV - Jan Koum Co-founder of WhatsApp - Stanford CS183F: Startup School In the fourth and final episode of How to Build a Product Jan Koum shares his journey as the CEO and co-founder of WhatsApp. Stanford Y Combinator WhatsApp Jan Koum CEO Co-founder How to Build a Product Startup school Startup computer science CS183F cs innovation entrepreneurship Stanford Y Combinator WhatsApp Jan Koum CEO Co-founder How to Build a Product Startup school Startup computer science CS183F cs innovation entrepreneurship"
YouTube Link 2017-04-28T23:47Z 1M followers, 76.6K engagements
"Stanford CS230 Autumn [----] Lecture 6: AI Project Strategy For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai October [--] [----] This lecture provides walkthroughs of examples of AI projects and making day-to-day decisions in building AI systems. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist:"
YouTube Link 2025-11-05T00:02Z 1M followers, 34.5K engagements
"Stanford CS547 HCI Seminar Winter [----] Visual and Algorithmic Interpretation for Responsible AI For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: Visual and algorithmic tools that make sense of AI behaviors and risks AI vulnerabilities and innovative countermeasures To follow along with the seminar schedule visit: https://hci.stanford.edu/ Duen Horng (Polo) Chau is a Professor at Georgia Techs School of Computational Science and Engineering holding a Machine Learning Ph.D. from Carnegie Mellon"
YouTube Link 2026-01-26T21:14Z 1M followers, [----] engagements
"Stanford Seminar - Silicon Valley & The U.S. Government: In-Q-Tels George Hoyem April [--] [----] George Hoyem In-Q-Tel In-Q-Tels EVP of Investments George Hoyem is interviewed by Ernestine Fu Mak with special remarks from Joe Felter and Steve Blank. In-Q-Tels Managing Partner A.J. Bertone also participates in the conversation. Founded in [----] In-Q-Tel is the non-profit strategic investor that accelerates the development and delivery of cutting-edge technologies to U.S. government agencies and allied nations. This session is part of the Silicon Valley & The U.S. Government speaker series co-led"
YouTube Link 2024-07-10T23:02Z 1M followers, [----] engagements
"Stanford Robotics Seminar ENGR319 Autumn [----] Next Generation Dexterous Manipulation For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This seminar examines the critical barriers that continue to limit progress toward general-purpose robotic manipulation and discusses the catalyst problems that currently prevent robots from operating effectively at scale in domestic industrial and agricultural settings. To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Monroe Kennedy III"
YouTube Link 2025-12-11T22:22Z 1M followers, [----] engagements
"Myth: #GenAI Can Use the Same Business Model as SaaS Stanford Online instructor Aditya Challapally shares his findings on the most effective pricing strategies for GenAI products. Dont let myths mislead your AI strategyfind the real opportunities. Learn how in Aditya's online course: https://online.stanford.edu/courses/xapro210-mastering-generative-ai-product-innovationutm_source=youtube&utm_medium=social Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2024-07-16T21:13Z 1M followers, 12K engagements
"Stanford CS25: V5 I On the Biology of a Large Language Model Josh Batson of Anthropic May [--] [----] Large language models do many things and it's not clear from black-box interactions how they do them. We will discuss recent progress in mechanistic interpretability an approach to understanding models based on decomposing them into pieces understanding the role of the pieces and then understanding behaviors based on how those pieces fit together. We will focus on the methods and findings of On the Biology of a Large Language Model with some additional excursions and speculations. We hope to shed"
YouTube Link 2025-06-05T21:41Z 1M followers, 34.7K engagements
"Stanford CS25: V5 I Transformers in Diffusion Models for Image Generation and Beyond May [--] [----] Sayak Paul of Hugging Face Diffusion models have been all the rage in recent times when it comes to generating realistic yet synthetic continuous media content. This talk covers how Transformers are used in diffusion models for image generation and goes far beyond that. We set the context by briefly discussing some preliminaries around diffusion models and how they are trained. We then cover the UNet-based network architecture that used to be the de facto choice for diffusion models. This helps us"
YouTube Link 2025-06-24T16:35Z 1M followers, 25.3K engagements
"Lecture [--] - Decision Trees and Ensemble Methods Stanford CS229: Machine Learning (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Raphael Townshend PhD Candidate and CS229 Head TA To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online CS229 AI Stanford Stanford Online CS229 AI"
YouTube Link 2020-04-17T20:10Z 1M followers, 235.2K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 10: RL for LLM Reasoning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers reinforcement learning for LLM reasoning. To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Aviral Kumar Professor at Carnegie Mellon University Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L11: iPad and Mac View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 11th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Make CodeBreaker work across multiple platforms (iPhone iPad Mac) using NavigationSplitView. Demonstrates converting NavigationStack to NavigationSplitView for side-by-side Views on larger screens. Along the way covers understanding size classes (compact vs"
YouTube Link 2025-12-03T21:01Z 1M followers, [----] engagements
"Stanford Seminar - Silicon Valley & The U.S. Government: In-Q-Tels Steve Bowsher October [--] [----] Steve Bowsher In-Q-Tel In-Q-Tel CEO and President Steve Bowsher is interviewed by Ernestine Mak and Joe Felter. Founded in [----] In-Q-Tel is the non-profit strategic investor that accelerates the development and delivery of cutting-edge technologies to U.S. government agencies and allied nations. __ This session is part of the Silicon Valley & The U.S. Government speaker series co-led by Ernestine Mak Steve Blank Paul Kwan and Joe Felter. Silicon Valley collaborations with the U.S. government have"
YouTube Link 2024-04-01T23:33Z 1M followers, [----] engagements
"Myth: You Need to Host Your Own #GenAI Model for Security or Privacy Stanford Online instructor Aditya Challapally shares his findings on whether companies should host their own models or utilize existing APIs. Dont let myths mislead your AI strategyfind the real opportunities. Learn how in Aditya's online course: https://online.stanford.edu/courses/xapro210-mastering-generative-ai-product-innovationutm_source=youtube&utm_medium=social Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2024-07-16T21:13Z 1M followers, 11.8K engagements
"Andrew Ng and Fei-Fei Li Discuss Human-Centered Artificial Intelligence - Stanford Online Earlier this year Andrew Ng sat down with Professor Fei-Fei Li to discuss the past and present state of Artificial Intelligence and some of the "audacious questions" still to be answered. If you would like to get started in AI the new Coursera Machine Learning Specialization developed by Stanford Online and DeepLearning.AI is the perfect place to start. Learn more 👉 https://stanford.io/3HEj56q 0:00 Introduction 1:23 Fei-Fei Li Background 8:40 Vision for AI 11:47 ImageNet 16:36 CalTech [---] Dataset 21:06"
YouTube Link 2023-05-11T18:09Z 1M followers, 39.2K engagements
"Stanford Seminar - Hans Tung of GGV Capital "Globalization of Startup Companies from China: Perspectives of a VC" -Hans Tung GGV Capital "New Trends in Start-Up Company Acceleration: Toward the Rise of the Global Start-Up". This series features new incubator and accelerator programs in Silicon Valley and select Asia economies that promote early development of international business operations by start-up companies. Investigate how start-up companies cope with the challenges of business globalization and the implications of these new models of incubation for the future of Asia economies and"
YouTube Link 2014-12-01T23:16Z 1M followers, [----] engagements
"Stanford Webinar - Closing the Loop: The Circular Economy Business & Sustainability Learn more about the Stanford Online Strategies for Sustainability course (https://stanford.io/3N4ODTi) Learn more about our Energy Innovation and Emerging Technologies Program (https://stanford.io/3KnavYi) The worlds resources are being consumed at an unprecedented pace. In order to meet sustainability and business goals organizations must adapt their practices to eliminate waste in all processes. Consequently a growing number of organizations around the world are shifting their business models away from a"
YouTube Link 2022-05-09T20:18Z 1M followers, 133.7K engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L12: Even More Complex UIs View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 12th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Building modal interfaces and reusable View components. Creates a PegChoicesChooserView for editing game peg count and colors. Demonstrates how to control sheet presentation with isPresented bindings and creating game editors with proper data"
YouTube Link 2025-12-03T21:02Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L13: SwiftData View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 13th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Using SwiftData to make an app's data persistent. Shows how to convert a Model from structs to @Model classes. Explains the restrictions on @Model var types (primitives other @Models Codables Arrays) using @Relationship annotations for table relationships and"
YouTube Link 2025-12-18T20:57Z 1M followers, [----] engagements
"Stanford Seminar - Silicon Valley & The U.S. Government: Investing in Resilience and Security Venture capitalists Ernestine Fu Mak (Brave Capital) Dan Gwak (Point72 Ventures) Paul Kwan (General Catalyst) and Steve Bowsher (In-Q-Tel) discuss the latest trends in investing in resilience and security. This session is part of the Silicon Valley & The U.S. Government speaker series co-led by Ernestine Fu Mak Steve Blank Joe Felter Eric Volmar and Steve Bowsher. Silicon Valley collaborations with the U.S. government have led to some of the most important technologies in our society. Driven by"
YouTube Link 2025-03-12T18:46Z 1M followers, [---] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 16: RL for Robots View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Why arent robots autonomous already Defining the problem: autonomous RL Developing the algorithms To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L16: Shapes Gestures Persistence View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 16th and final lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Covers miscellaneous topics like creating custom Shapes using GeometryReader multi-touch gesture handling and persistence alternatives to SwiftData (e.g. the file system). Paul Hegarty is a Lecturer who has been teaching CS193p at"
YouTube Link 2025-12-18T21:59Z 1M followers, [----] engagements
"Stanford CS229: Machine Learning Summer [----] Lecture [--] - Variational Autoencoder For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Anand Avati Computer Science PhD To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-summer2019.html Stanford Online Machine Learning AI Artificial intelligence Stanford Online Machine Learning AI Artificial intelligence"
YouTube Link 2022-07-06T22:29Z 1M followers, 29.6K engagements
"Course Overview - Business Opportunities and Applications of Generative AI Learn more and enroll in the course: https://online.stanford.edu/courses/xfm111-business-opportunities-and-applications-generative-ai Generative AI has opened up previously unimaginable possibilities for businesses and organizations. In order to make the most of these opportunities and drive innovation leaders must have a solid grasp of this rapidly evolving technological landscape. This course will equip you with the strategies and techniques to effectively leverage this powerful technology and navigate potential"
YouTube Link 2024-10-30T22:12Z 1M followers, 1.4M engagements
"Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2024-03-13T15:00Z 1M followers, 38K engagements
"Stanford CS109 Probability for Computer Scientists I Counting I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/archive/cs/cs109/cs109.1232/ Chris Piech Assistant Professor of Computer Science at Stanford University http://stanford.edu/cpiech/bio/index.html Learn more about the course and how to enroll: https://online.stanford.edu/courses/cs109-introduction-probability-computer-scientists To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2023-10-09T20:11Z 1M followers, 240.2K engagements
"Course Overview - Human-Centered Generative AI Learn more and enroll in the course: https://online.stanford.edu/courses/xfm112-human-centered-generative-ai While generative AI has the potential to transform industries and organizations that transformation may pose considerable risks to individuals communities and society at large. To navigate these risks leaders must apply a human-centered approach to the development and deployment of generative AI systems. Developed in collaboration with the Stanford Institute for Human-Centered Artificial Intelligence (HAI) this course provides ethical"
YouTube Link 2024-10-30T22:12Z 1M followers, 1.7M engagements
"Stanford CS230 Autumn [----] Lecture 5: Deep Reinforcement Learning For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai October [--] [----] This lecture covers deep reinforcement learning. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X"
YouTube Link 2025-10-31T20:59Z 1M followers, 30.2K engagements
"Stanford CS229: Machine Learning - Linear Regression and Gradient Descent Lecture [--] (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai This lecture covers supervised learning and linear regression. Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html #andrewng #machinelearning Chapters: 00:00 Intro 00:45 Motivate Linear Regression 03:01 Supervised Learning 04:44 Designing a"
YouTube Link 2020-04-17T20:08Z 1M followers, 1.9M engagements
"Lecture [--] - Kernels Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html 0:00 Introduction 0:10 Support vector machine algorithm 2:47 Derivation of this classification problem 7:47 Decision boundary 11:58 The represented theorem 13:20 Logistic Regression 26:31 The dual optimization"
YouTube Link 2020-04-17T20:10Z 1M followers, 249.5K engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - LLM Evaluation For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This lecture covers: LLM-as-a-judge overview Best practices and benefits Biases and pitfalls To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:07:08 Inter-rater agreement metrics 00:18:24 Rule-based metrics 00:21:00 METEOR BLEU ROUGE 00:28:00 LLM-as-a-judge 00:33:44 Structured outputs 00:36:48 Variants 00:38:47"
YouTube Link 2025-12-02T17:01Z 1M followers, 35K engagements
"AI & Cybersecurity: Dan Boneh Interviews Sam Altman Watch Dan Boneh the Co-Academic Director of the Stanford Advanced Cybersecurity Program interview OpenAI CEO Sam Altman one of the industry experts featured in our newest course on AI Security. The two thought leaders discuss the future of AI necessary AI skills AI security the impact of AI on computer science and more. Learn more about our AI Security course: https://online.stanford.edu/courses/xacs134-ai-security 0:50 Open questions in AI 8:15 Future of AI & Skills Needed 15:10 AI Security 20:30 Impact of AI on computer science 23:03 CS"
YouTube Link 2025-11-11T17:18Z 1M followers, 105.1K engagements
"Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai This lecture provides a concise overview of building a ChatGPT-like model covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component it explores common practices in data collection algorithms and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanfords CS229: Machine Learning course in Summer [----]. Yann Dubois PhD Student at Stanford https://yanndubs.github.io/"
YouTube Link 2024-08-27T22:02Z 1M followers, 1.8M engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L3: Model and UI & Swift Type System View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 3rd lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). This lecture focuses on Swift's type system fundamentals and explains the Model-UI separation principle in SwiftUI emphasizing that the Model contains the app's core logic and data (UI-independent) while the UI is a declarative reactive"
YouTube Link 2025-11-14T00:21Z 1M followers, [----] engagements
"Stanford CS230 Autumn [----] Lecture 2: Supervised Self-Supervised & Weakly Supervised Learning For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai September [--] [----] This lecture covers key AI concepts through case studies. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist:"
YouTube Link 2025-10-07T23:23Z 1M followers, 122.1K engagements
"Stanford CS336 Language Modeling from Scratch Spring [----] Lecture 15: Alignment - SFT/RLHF For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/ Percy Liang Associate Professor of Computer Science Director of Center for Research on Foundation Models (CRFM) Tatsunori Hashimoto Assistant Professor of Computer Science"
YouTube Link 2025-06-20T17:33Z 1M followers, 28.5K engagements
"Stanford CS224N: NLP with Deep Learning Spring [----] Lecture [--] - Intro and Word Vectors For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. The course (10 mins) [--]. Human language and word meaning (15 mins) [--]. Word2vec introduction (15 mins) [--]. Word2vec objective function gradients (25 mins) [--]. Optimization basics (5 mins) [--]. Looking at word vectors (10 mins or less) Key learning: The (astounding) result that word meaning can be represented rather well by a (high-dimensional) vector of real numbers To learn more"
YouTube Link 2025-03-04T15:56Z 1M followers, 151.6K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 1: Class Intro View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Class introduction Markov Decisions Processes Why study deep reinforcement learning Intro to modeling behavior and reinforcement learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor"
YouTube Link 2025-12-08T19:34Z 1M followers, 60.6K engagements
"Stanford Webinar - Design Thinking: What is it and why should I care Learn design thinking from Perry and Jeremy entirely online: https://online.stanford.edu/programs/creativity-and-design-thinking-program In this webinar design thinking all-stars Jeremy Utley and Perry Klebahn break down the basics of design thinking and show you how to apply a creative lens to challenges youre facing at work or at home. To demonstrate the power of design thinking Perry and Jeremy work through challenges submitted by the audience in real-time. Theyll show you how you can tackle any problem youre facing by"
YouTube Link 2021-09-27T22:55Z 1M followers, 237.4K engagements
"Stanford CS224W: Machine Learning with Graphs [----] Lecture [---] - Why Graphs For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/3Bu1w3n Jure Leskovec Computer Science PhD Graphs are a general language for describing and analyzing entities with relations/interactions. There are many types of networks and graphs such as social networks communication and transaction networks biomedine networks brain networks etc. In this course we will take advantage of relational structure for better prediction. To follow along with the"
YouTube Link 2021-04-13T16:16Z 1M followers, 582.3K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 3: Policy Gradients View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] Key intuition behind policy gradients How to implement when to use policy gradients To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS230 Autumn [----] Lecture 3: Full Cycle of a DL project For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai October [--] [----] This lecture covers the full cycle of a DL project. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X"
YouTube Link 2025-10-15T19:30Z 1M followers, 53.4K engagements
"Lecture [--] - Introduction to Neural Networks Stanford CS229: Machine Learning (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Kian Katanforoosh Lecturer Computer Science To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online CS229 AI Stanford Stanford Online CS229 AI"
YouTube Link 2020-04-17T20:12Z 1M followers, 272.9K engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L10: Building Complex UIs View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 10th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). CodeBreaker is enhanced to be able to show multiple games. Enhancing an app's architecture to display multiple Views. Implements a GameChooser View with List demonstrating @State management at the app root level and implementing named CodeBreaker"
YouTube Link 2025-12-03T21:00Z 1M followers, [----] engagements
"Stanford CS230 Autumn [----] Lecture 10: Whats Going On Inside My Model For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai December [--] [----] This lecture covers what's happening inside your model and provides a class wrap-up. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X Andrew"
YouTube Link 2025-12-15T23:32Z 1M followers, 16.6K engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - LLM tuning For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: Preference tuning RLHF overview Reward modeling RL approaches (PPO and variants) DPO To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:04:50 Preference tuning 00:11:31 Data collection 00:17:43 RLHF overview 00:28:24 Reward model 00:29:46 Bradley-Terry formulation 00:46:02 Reinforcement learning"
YouTube Link 2025-11-14T18:59Z 1M followers, 28K engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Recap & Current Trends For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This lecture covers: Recap Trending topics Closing thoughts To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:01:12 Transformer 00:06:35 Transformer-based models & tricks 00:11:17 Large Language Models 00:15:05 LLM training 00:24:09 LLM tuning 00:29:41 LLM reasoning 00:38:37 Agentic LLMs (RAG tool calling)"
YouTube Link 2025-12-09T20:43Z 1M followers, 78.9K engagements
"Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2024-03-14T15:00Z 1M followers, 23.6K engagements
"How to Get Users and Grow - Alex Schultz VP of Growth at Facebook - Stanford CS183F: Startup School Alex Schultz VP of Growth at Facebook shares with us how to get users how to grow and how to measure growth. Stanford Facebook Alex Schultz Growth Startup Y Combinator CS183F Stanford Facebook Alex Schultz Growth Startup Y Combinator CS183F"
YouTube Link 2017-05-03T21:06Z 1M followers, 211.2K engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Transformer For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education September [--] [----] This lecture covers: Background on NLP and tasks Tokenization Embeddings Word2vec RNN LSTM Attention mechanism Transformer architecture To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:03:54 Class logistics 00:09:40 NLP overview 00:22:57 Tokenization 00:30:28 Word representation 00:53:23 Recurrent neural networks"
YouTube Link 2025-10-17T22:08Z 1M followers, 460.2K engagements
"Stanford CS234 Reinforcement Learning I Introduction to Reinforcement Learning I [----] I Lecture [--] For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit the course website: https://web.stanford.edu/class/cs234/ Emma Brunskill Associate Professor of Computer Science at Stanford University https://cs.stanford.edu/people/ebrun/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/cs234-reinforcement-learning To view all online courses and programs offered by Stanford visit:"
YouTube Link 2024-10-30T22:38Z 1M followers, 136.5K engagements
"Stanford CS236: Deep Generative Models I [----] I Lecture [--] - Introduction For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit the course website: https://deepgenerativemodels.github.io/ Stefano Ermon Associate Professor of Computer Science Stanford University https://cs.stanford.edu/ermon/ Learn more about the online course and how to enroll: https://online.stanford.edu/courses/cs236-deep-generative-models To view all online courses and programs offered by Stanford visit: https://online.stanford.edu/"
YouTube Link 2024-05-06T15:35Z 1M followers, 153.3K engagements
"Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy January [--] [----] Introduction to Transformers Andrej Karpathy: https://karpathy.ai/ Since their introduction in [----] transformers have revolutionized Natural Language Processing (NLP). Now transformers are finding applications all over Deep Learning be it computer vision (CV) reinforcement learning (RL) Generative Adversarial Networks (GANs) Speech or even Biology. Among other things transformers have enabled the creation of powerful language models like GPT-3 and were instrumental in DeepMind's recent AlphaFold2 that tackles"
YouTube Link 2023-05-19T18:00Z 1M followers, 963.2K engagements
"General Intro Stanford CS221: Artificial Intelligence: Principles and Techniques (Autumn 2021) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor Dorsa Sadigh Assistant Professor in the Computer Science Department & Electrical Engineering Department https://profiles.stanford.edu/dorsa-sadigh To follow along with the course schedule and syllabus visit:"
YouTube Link 2022-05-31T17:52Z 1M followers, 212.7K engagements
"How and Why to Start A Startup - Sam Altman & Dustin Moskovitz - Stanford CS183F: Startup School Sam Altman President of Y Combinator and Dustin Moskovitz Cofounder of Facebook and Asana kick off the How to Start a Startup Course. Dustin discusses Why to Start a Startup and Sam introduces the [--] key components of Starting a Startup: Idea Product Team and Execution. http://www.slideshare.net/StevenPham7/lecture-1-how-to-start-a-startup-by-sam-altman Explore Stanford Online courses: https://online.stanford.edu/explore startup y-combinator YC Stanford CS183F Engineering company building creating"
YouTube Link 2017-04-05T19:30Z 1M followers, 288.1K engagements
"How to Find Product Market Fit - Stanford CS183F: Startup School Peter Reinhardt co-founder and CEO of Segment shares his experience on finding product market fit. Stanford Y Combinator How to Find Product Market Fit CS183F CS Computer Science Innovation Product Market Product Market Fit Peter Reinhardt Segment entrepreneurship entrepreneur SOE Sam Altman Stanford Y Combinator How to Find Product Market Fit CS183F CS Computer Science Innovation Product Market Product Market Fit Peter Reinhardt Segment entrepreneurship entrepreneur SOE Sam Altman"
YouTube Link 2017-05-17T20:38Z 1M followers, 189.8K engagements
"Stanford CS230 Autumn [----] Lecture 1: Introduction to Deep Learning For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai September [--] [----] This lecture covers: [--]. Class introduction [--]. Examples of deep learning projects [--]. Course details To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist:"
YouTube Link 2025-10-01T15:01Z 1M followers, 530.1K engagements
"Stanford CS230 Autumn [----] Lecture 4: Adversarial Robustness and Generative Models For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai October [--] [----] This lecture covers adversarial robustness and generative models. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning To follow along with the course schedule and syllabus visit: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist:"
YouTube Link 2025-10-21T22:43Z 1M followers, 37.6K engagements
"Stanford CS231N Spring [----] Lecture 3: Regularization and Optimization For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. Regularization [--]. Stochastic Gradient Descent [--]. Momentum AdaGrad Adam [--]. Learning rate schedules To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Zane Durante PhD student at Stanford University Computer Science View the entire"
YouTube Link 2025-09-02T22:09Z 1M followers, 41.8K engagements
"Stanford CS336 Language Modeling from Scratch Spring [----] Lecture 10: Inference For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/ Percy Liang Associate Professor of Computer Science Director of Center for Research on Foundation Models (CRFM) Tatsunori Hashimoto Assistant Professor of Computer Science View the"
YouTube Link 2025-05-19T21:59Z 1M followers, 26.7K engagements
"Stanford CS234 Reinforcement Learning I Tabular MDP Planning I [----] I Lecture [--] For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit the course website: https://web.stanford.edu/class/cs234/ Emma Brunskill Associate Professor of Computer Science at Stanford University https://cs.stanford.edu/people/ebrun/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/cs234-reinforcement-learning To view all online courses and programs offered by Stanford visit: http://online.stanford.edu"
YouTube Link 2024-10-30T22:38Z 1M followers, 48.4K engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Agentic LLMs For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This lecture covers: Retrieval-augmented generation Advanced RAG techniques Function calling Agents ReAct framework To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:06:38 RAG overview 00:27:39 Similarity search with SBERT and bi-encoders 00:34:25 Heuristic search with BM25 00:37:54 HyDE and contextual retrieval"
YouTube Link 2025-11-18T01:31Z 1M followers, 52.8K engagements
"Stanford CS330 I Variational Inference and Generative Models l [----] I Lecture [--] For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course visit: https://cs330.stanford.edu/ To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Chelsea Finn Computer Science PhD Plan for Today [--]. Latent variable models [--]. Variational inference [--]. Amortized variational inference [--]. Example latent variables models Goals Understand latent variable models in deep learning Understand how to use"
YouTube Link 2023-04-09T16:30Z 1M followers, 32.9K engagements
"Stanford CS229: Machine Learning Course Lecture [--] - Andrew Ng (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Listen to the first lecture in Andrew Ng's machine learning course. This course provides a broad introduction to machine learning and statistical pattern recognition. Learn about both supervised and unsupervised learning as well as learning theory reinforcement learning and control. Explore recent applications of machine learning and design and develop algorithms for machines. Andrew Ng is an"
YouTube Link 2020-04-17T20:07Z 1M followers, 4.3M engagements
"Stanford CS230 Autumn [----] Lecture 8: Agents Prompts and RAG For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai November [--] [----] This lecture covers agents prompts and RAG. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X NOTE: There"
YouTube Link 2025-11-21T23:08Z 1M followers, 253.7K engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - LLM Reasoning For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This lecture covers: Reasoning models RL for reasoning GRPO Scaling To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:12:43 Reasoning models 00:27:49 Benchmarks 00:32:04 Pass@k metric 00:48:07 Scaling with RL 00:57:44 GRPO 01:06:03 Comparison between GRPO and PPO 01:16:14 Length bias 01:25:00 DAPO Dr. GRPO 01:29:38"
YouTube Link 2025-11-14T19:24Z 1M followers, 33.3K engagements
"Stanford CS231N Spring [----] Lecture 7: Recurrent Neural Networks For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. RNN LSTM GRU [--]. Language modeling [--]. Image captioning [--]. Sequence-to-sequence To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Zane Durante PhD student at Stanford University Computer Science View the entire course playlist:"
YouTube Link 2025-09-02T22:08Z 1M followers, 19K engagements
"Stanford Webinar - Agentic AI: A Progression of Language Model Usage For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai In this webinar you will gain an introduction to the concept of agentic language models (LMs) and their usage. You will learn about common limitations of LMs and agentic LM usage patterns such as reflection planning tool usage and iterative LM usage. This online session will cover: Overview of LMs LM Usage and limitations Retrieval Augmented Generation (RAG) Tool usage Agentic LMs Agentic design patterns About the speaker:"
YouTube Link 2025-02-05T00:10Z 1M followers, 570.1K engagements
"Stanford EE364A Convex Optimization I Stephen Boyd I [----] I Lecture [--] To follow along with the course visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford visit: http://online.stanford.edu Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2024-03-11T15:00Z 1M followers, 149.2K engagements
"Lecture [--] - Support Vector Machines Stanford CS229: Machine Learning Andrew Ng (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online Stanford Graduate lecture CS229 AI Andrew Ng Stanford Stanford Online Stanford Graduate lecture CS229 AI Andrew Ng"
YouTube Link 2020-04-17T20:09Z 1M followers, 338.9K engagements
"Stanford CS231N Spring [----] Lecture 2: Image Classification with Linear Classifiers For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: [--]. The data-driven approach [--]. K-nearest neighbor [--]. Linear Classifiers [--]. Algebraic / Visual / Geometric viewpoints [--]. Softmax loss To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Fei-Fei Li Sequoia Professor of"
YouTube Link 2025-09-02T22:09Z 1M followers, 63.1K engagements
"Lecture [--] - Expectation-Maximization Algorithms Stanford CS229: Machine Learning (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html 0:00 Introduction 1:15 Unsupervised learning 1:38 First unsupervised learning algorithm 1:54 Market Segmentation 5:33 Clustering algorithm 5:37 K-means clustering 5:52 Initialize the cluster"
YouTube Link 2020-04-17T20:12Z 1M followers, 195.3K engagements
"Stanford CS224N: NLP with Deep Learning Winter [----] Lecture [--] - Intro & Word Vectors For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3w46jar This lecture covers: [--]. The course (10min) [--]. Human language and word meaning (15 min) [--]. Word2vec algorithm introduction (15 min) [--]. Word2vec objective function gradients (25 min) [--]. Optimization basics (5min) [--]. Looking at word vectors (10 min or less) Key learning: The (really surprising) result that word meaning can be representing rather well by a large vector of real"
YouTube Link 2021-10-29T01:16Z 1M followers, 795.9K engagements
"Program Overview - Generative AI: Technology Business & Society Recent advancements in generative AI are reshaping industries pushing technological boundaries and revolutionizing creative processes. In this fast-changing landscape it is imperative for leaders to grasp the implications of this transformation for their businesses technologies and society at large. Explore this dynamic field in this program developed by Stanford Online and Stanfords Institute for Human-Centered Artificial Intelligence (HAI). This comprehensive program covers technical fundamentals business implications and"
YouTube Link 2024-07-31T22:27Z 1M followers, 32.7K engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Transformer-Based Models & Tricks For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education October [--] [----] This lecture covers: Attention approximation MHA MQA GQA Position embeddings (regular learned) RoPE and applications Transformer-based architectures BERT and its derivatives To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:01:30 Recap of Transformers 00:10:37 Overview of position embeddings"
YouTube Link 2025-10-17T22:08Z 1M followers, 103.8K engagements
"Lecture [--] - Backprop & Improving Neural Networks Stanford CS229: Machine Learning (Autumn 2018) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Kian Katanforoosh Lecturer Computer Science To follow along with the course schedule and syllabus visit: http://cs229.stanford.edu/syllabus-autumn2018.html Stanford Stanford Online CS229 Stanford Stanford Online CS229"
YouTube Link 2020-04-17T20:11Z 1M followers, 123.4K engagements
"Machine Learning [--] - Linear Classifiers SGD Stanford CS221: AI (Autumn 2019) For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/3nAk9O3 Topics: Linear classification Loss minimization Stochastic gradient descent Percy Liang Associate Professor & Dorsa Sadigh Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor Dorsa Sadigh Assistant Professor in"
YouTube Link 2020-01-08T19:22Z 1M followers, 467.7K engagements
"Stanford CS547 HCI Seminar Winter [----] Does GenAI Work in Education For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education February [--] [----] This lecture covers: A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning An introduction to and evaluation of FeedbackWriter How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation To follow along with the seminar schedule visit: https://hci.stanford.edu/ Xu Wang is an Assistant"
YouTube Link 2026-02-13T18:17Z 1M followers, [----] engagements
"Stop second-guessing high-stakes decisions. Make product decisions you can stand behind. Learn how to run effective experiments and translate the results into actionable insights that drive better product outcomes. Learn to: - Design experiments that answer real questions - Extract causal insights from messy data - Leverage AI for faster testing - Turn results into a clear strategy This course empowers product leaders designers and builders to leverage data science without becoming statisticians. Learn more about the course: https://stanford.io/4kBTRrW #ProductDevelopment #DataScience"
YouTube Link 2026-02-11T22:49Z 1M followers, [----] engagements
"Stanford Robotics Seminar ENGR319 Winter [----] Bringing AI Up To Speed For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This seminar covers: How to refine testing methodologies to advance the safety of autonomous vehicles How high-speed autonomous racing provides a unique proving ground to test the boundaries of AIs physical capabilities How racing at high speeds and in close proximity to other vehicles exposes unsolved challenges in perception planning and control To follow along with the seminar schedule visit:"
YouTube Link 2026-02-11T00:21Z 1M followers, [----] engagements
"Stanford CS547 HCI Seminar Winter [----] Creation Evolution and Formalization of Notations For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: Common patterns and stages for the development of notations across computational scientific and artistic fields The role of cultural context linking and grounding metaphors and cognitive processes of analogical alignment Building a more pluralistic future for human-AI communication To follow along with the seminar schedule visit: https://hci.stanford.edu/ Ian"
YouTube Link 2026-02-11T00:12Z 1M followers, [----] engagements
"Course Overview: Mastering Difficult Conversations with AI Course details: https://stanford.io/4qjWTCk Think back to the first time you had to tell a direct report their work wasnt good enough or persuade your supervisor to change course. For most new managers those difficult conversations might not have gone as planned. But research shows these early moments can shape the trajectory of your entire career. The good news is you dont have to wait for the next high-stakes conversation to get it right. In this course Stanford faculty combine decades of research with the emergent superpowers of"
YouTube Link 2026-02-05T18:49Z 1M followers, [----] engagements
"New Course: Mastering Difficult Conversations with AI The difficult conversations you're avoiding You can practice them first. Confront toxic behavior Motivate disengaged talent Push back on your boss all in a low-stakes rehearsal space with AI coaching. Learn more and enroll: https://stanford.io/49VsoxE Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2026-02-03T18:14Z 1M followers, [----] engagements
"Stanford Webinar - Human-Centered AI: Designing Systems People Trust View the details of our Generative AI: Technology Business and Society Program https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Tune into this engaging discussion with Professor James Landay Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Vanessa Parli Managing Director of Programs and External Engagement for Stanford HAI. Explore how to design AI systems that enhance human capabilities and earn stakeholder trust and discover insights from"
YouTube Link 2026-02-02T20:36Z 1M followers, [----] engagements
"Innovation for Growth and Sustainability in the Era of AI Join Professor Mike Lepech and Jeff Wong former Ernst & Young Global Chief Innovation Officer as they discuss scaling innovation in today's AI-powered business environment. They uncover what it takes to lead transformation while balancing performance and purpose and share practical insights from leaders operating at the intersection of strategy technology and sustainability. The session features a fireside chat an interactive Q&A and a brief overview of Stanford Doerr School of Sustainabilitys Executive Education program for Summer"
YouTube Link 2026-02-02T16:33Z 1M followers, [----] engagements
"Stanford Robotics Seminar ENGR319 Winter [----] Autonomous Navigation in Outdoor Environments For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] Autonomous Navigation in Complex Outdoor Environments: Towards Companion Robots for Longevity This seminar covers: Deploying mobile robots in unstructured outdoor environments Robots going beyond simple navigation to also understand human behavior and enhance personal mobility Previous approaches for long-range outdoor navigation with a focus on scene understanding and planning A"
YouTube Link 2026-01-30T18:26Z 1M followers, [----] engagements
"AI in Healthcare Series: You Cant Delegate AI with Andy Slavitt Learn more about Stanford's online Healthcare AI programs: https://online.stanford.edu/artificial-intelligence/ai-professionals-healthcare Check out the AI in Healthcare series playlist: https://bit.ly/AI-in-Healthcare-YT-Series Matt Lungren Stanford University - https://profiles.stanford.edu/matthew-lungren Justin Norden Stanford University - https://med.stanford.edu/profiles/justin-norden Guest Speaker: Andy Slavitt Co-Founder and General Partner at Town Hall Ventures This episode explores the rapid bottomup adoption of AI in"
YouTube Link 2026-01-29T17:37Z 1M followers, [----] engagements
"Stanford CS547 HCI Seminar Winter [----] Visual and Algorithmic Interpretation for Responsible AI For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: Visual and algorithmic tools that make sense of AI behaviors and risks AI vulnerabilities and innovative countermeasures To follow along with the seminar schedule visit: https://hci.stanford.edu/ Duen Horng (Polo) Chau is a Professor at Georgia Techs School of Computational Science and Engineering holding a Machine Learning Ph.D. from Carnegie Mellon"
YouTube Link 2026-01-26T21:14Z 1M followers, [----] engagements
"Stanford Robotics Seminar ENGR319 Winter [----] Resilient Autonomy For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This seminar covers: Resilient autonomy for extreme and uncertain environments Approaches progress and results on multi-modal sensing Nuanced perception inputs Navigation in difficult terrain Future directions of our research To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Sebastian Scherer Associate Research Professor at the Robotics Institute at Carnegie"
YouTube Link 2026-01-23T22:25Z 1M followers, [----] engagements
"Stanford Robotics Seminar ENGR319 Winter [----] Robot Motion Learning w/Physics-Based PDE Priors For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This seminar covers: How partial differential equation (PDE)based physics priors can provide a foundation for scalable and generalizable algorithms in robot motion learning An introduction to an HJ PDEderived mapping representation that unifies perception and planning To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Ahmed H."
YouTube Link 2026-01-16T18:01Z 1M followers, [----] engagements
"Stanford CS547 HCI Seminar Winter [----] LLM Chatbots in the Online Social World For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education January [--] [----] This lecture covers: How the ongoing integration of LLMs into our social worlds is creating new risks and opportunities Best practices for designing rehabilitative bots To follow along with the seminar schedule visit: https://hci.stanford.edu/ Jeremy Foote is an Assistant Professor in the Brian Lamb School of Communication at Purdue University and a faculty member in the Community Data Science"
YouTube Link 2026-01-15T22:40Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L16: Shapes Gestures Persistence View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 16th and final lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Covers miscellaneous topics like creating custom Shapes using GeometryReader multi-touch gesture handling and persistence alternatives to SwiftData (e.g. the file system). Paul Hegarty is a Lecturer who has been teaching CS193p at"
YouTube Link 2025-12-18T21:59Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L15: Multithreading View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 15th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Multithreading fundamentals including the MainActor background queues and async/await patterns but first the lecture finishes off some SwiftData topics including complex sorting options for completed games and advanced predicate queries that traverse"
YouTube Link 2025-12-18T21:53Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L14: SwiftData Demonstration View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 14th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Continues the SwiftData implementation. Implements more complex database queries with predicates that join multiple tables and handle the differences between computed properties and stored database fields. Uses NotificationCenter publishers for"
YouTube Link 2025-12-18T21:49Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L13: SwiftData View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 13th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Using SwiftData to make an app's data persistent. Shows how to convert a Model from structs to @Model classes. Explains the restrictions on @Model var types (primitives other @Models Codables Arrays) using @Relationship annotations for table relationships and"
YouTube Link 2025-12-18T20:57Z 1M followers, [----] engagements
"Climate Innovation: Digital Technology for Sustainable Agriculture and Infrastructure Development Join Professor Rishee Jain and Dave Farnham as they unpack how AI is transforming building energy analysis and climate solutions. Jain discusses the intersection of civil engineering data analytics and social science in building energy usage and how he applies AI to his research. Farnham shares his company's AI-driven approaches to climate challenges. The session features lightning talks an interactive Q&A and a brief overview of Stanford Doerr School of Sustainabilitys External Education"
YouTube Link 2025-12-17T22:15Z 1M followers, [----] engagements
"AI and Climate: From Grids to Data Centers AI Strategy & Innovation Join Professor Ines Azevedo and Kion Ahadi as they unpack how AI is accelerating efficiency and innovation across energy grids data centers and sustainability initiatives. The session includes lightning talks and an interactive Q&A. It also features a quick overview of Stanford Doerr School of Sustainabilitys External Education programs for Spring and Summer [----] including: - AI and Climate Master Class (1 day on the Stanford campus) https://stanford.io/4pJfKXV - Climate Innovation Master Class (1/2 day on the Stanford"
YouTube Link 2025-12-17T22:01Z 1M followers, [----] engagements
"Stanford Robotics Seminar ENGR319 Autumn [----] The Dynamics of Fluid Physical Interaction For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This seminar covers: The dynamics of fluid physical interaction How to make robots safe adaptive and compliant To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Nadia Figueroa Ph.D. Shalini and Rajeev Misra Presidential Assistant Professor in the Mechanical Engineering and Applied Mechanics (MEAM) Department at the University of"
YouTube Link 2025-12-17T20:00Z 1M followers, [----] engagements
"Stanford CS547 HCI Seminar Autumn [----] Tracing and Shaping Paths in Design Space For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This lecture covers: Making sense of user interactions with creativity support tools How AI-supported evaluation methods can help us illuminate a design tool's expressive range; trace user trajectories through design space; and potentially even intervene to shape these trajectories while the interaction is still unfolding To follow along with the seminar schedule visit:"
YouTube Link 2025-12-17T01:14Z 1M followers, [----] engagements
"Stanford CS230 Autumn [----] Lecture 9: Career Advice in AI For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai November [--] [----] This lecture covers career advice and a guest speaker. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X Guest Speaker Laurence Moroney Best-selling AI"
YouTube Link 2025-12-17T00:44Z 1M followers, 268.7K engagements
"Stanford CS230 Autumn [----] Lecture 10: Whats Going On Inside My Model For more information about Stanfords Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai December [--] [----] This lecture covers what's happening inside your model and provides a class wrap-up. To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ View the playlist: https://www.youtube.com/playlistlist=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X Andrew"
YouTube Link 2025-12-15T23:32Z 1M followers, 16.6K engagements
"Stanford Robotics Seminar ENGR319 Autumn [----] Next Generation Dexterous Manipulation For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education November [--] [----] This seminar examines the critical barriers that continue to limit progress toward general-purpose robotic manipulation and discusses the catalyst problems that currently prevent robots from operating effectively at scale in domestic industrial and agricultural settings. To follow along with the seminar schedule visit: https://stanfordasl.github.io/robotics_seminar/ Monroe Kennedy III"
YouTube Link 2025-12-11T22:22Z 1M followers, [----] engagements
"Stanford CME295 Transformers & LLMs Autumn [----] Lecture [--] - Recap & Current Trends For more information about Stanfords graduate programs visit: https://online.stanford.edu/graduate-education December [--] [----] This lecture covers: Recap Trending topics Closing thoughts To follow along with the course schedule and syllabus visit: https://cme295.stanford.edu/syllabus/ Chapters: 00:00:00 Introduction 00:01:12 Transformer 00:06:35 Transformer-based models & tricks 00:11:17 Large Language Models 00:15:05 LLM training 00:24:09 LLM tuning 00:29:41 LLM reasoning 00:38:37 Agentic LLMs (RAG tool calling)"
YouTube Link 2025-12-09T20:43Z 1M followers, 78.9K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 1: Class Intro View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Class introduction Markov Decisions Processes Why study deep reinforcement learning Intro to modeling behavior and reinforcement learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor"
YouTube Link 2025-12-08T19:34Z 1M followers, 60.6K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 2: Imitation Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Imitation learning basics Learning expressive policy distributions Learning from online interventions To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and"
YouTube Link 2025-12-08T19:34Z 1M followers, 12.9K engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 3: Policy Gradients View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] Key intuition behind policy gradients How to implement when to use policy gradients To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 4: Actor-Critic Methods View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: How to estimate how good a state and action are for a policy How to use those estimates to form a more efficient RL algorithm To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 5: Off-Policy Actor Critic View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Off-policy actor critic methods All of the key concepts for practical algorithms like PPO and SAC To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 6: Q-Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: How Q-functions relate to policies How to do RL without learning an explicit policy How to stabilize Q-learning in practice To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 7: Offline RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Key challenges arising in offline reinforcement learning Two approaches for offline RL (& why they work) How offline RL can improve over imitation learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 8: Reward Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This lecture covers: Why task specification is hard (& why nave methods fail) Methods for learning rewards from human supervision To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 9: RL for LLMs View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This guest lecture covers RL for LLMs: preference optimization. To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Archit Sharma Researcher on Gemini team Lead author of DPO Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2025-12-08T19:34Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 10: RL for LLM Reasoning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers reinforcement learning for LLM reasoning. To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Aviral Kumar Professor at Carnegie Mellon University Stanford Stanford Online Stanford Stanford Online"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 11: Model-Based RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: How to learn and use dynamic models The key challenges and trade-offs arising in model-based RL To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 12: Multi-Task RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Multi-task and goal-conditioned reinforcement learning Model-based reinforcement learning Multi-task imitation and reinforcement learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 13: Meta RL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Meta-RL problem statement Black-box meta-RL methods To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi."
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 14: Exploration View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Exploration Learning to Explore via Meta-Learning To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 15: Hierarchical RL and IL View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Whats the problem Key design choices Example systems To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 16: RL for Robots View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Why arent robots autonomous already Defining the problem: autonomous RL Developing the algorithms To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 17: Advancing Robot Intelligence View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Advancing robot intelligence with reinforcement learning What is reinforcement learning What has reinforcement learning achieved To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Ashish Kumar AI Lead Tesla"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Lecture 18: Frontiers View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning May [--] [----] This lecture covers: Problem set-up Methods Deployment & Evaluation To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Chelsea Finn Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi."
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS224R Deep Reinforcement Learning Spring [----] Tutorial Session: Review of Q-Learning View course details: https://online.stanford.edu/courses/xcs224r-deep-reinforcement-learning April [--] [----] This tutorial covers: Review of Markov Decision Processes (MDP) Exact MDPs Parametric Q-Learning Practical Details Q-Learning/Actor Critic Algorithm Walkthrough To learn more about enrolling in the graduate course visit: https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning To follow along with the course schedule and syllabus visit: https://cs224r.stanford.edu/ Anikait Singh"
YouTube Link 2025-12-08T19:33Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L12: Even More Complex UIs View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 12th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Building modal interfaces and reusable View components. Creates a PegChoicesChooserView for editing game peg count and colors. Demonstrates how to control sheet presentation with isPresented bindings and creating game editors with proper data"
YouTube Link 2025-12-03T21:02Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L11: iPad and Mac View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 11th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Make CodeBreaker work across multiple platforms (iPhone iPad Mac) using NavigationSplitView. Demonstrates converting NavigationStack to NavigationSplitView for side-by-side Views on larger screens. Along the way covers understanding size classes (compact vs"
YouTube Link 2025-12-03T21:01Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L10: Building Complex UIs View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 10th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). CodeBreaker is enhanced to be able to show multiple games. Enhancing an app's architecture to display multiple Views. Implements a GameChooser View with List demonstrating @State management at the app root level and implementing named CodeBreaker"
YouTube Link 2025-12-03T21:00Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L9: Protocols View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 9th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). The 9th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). More Animation. Implements elapsed time tracking to demonstrate more about animation and other Swift features. Includes implementing a custom"
YouTube Link 2025-12-03T21:00Z 1M followers, [----] engagements
"Stanford CS193p: iOS Development with SwiftUI [----] L8: Animation Demonstration View course details: https://online.stanford.edu/courses/cs193p-ios-application-development All course materials are available at https://cs193p.stanford.edu. The 8th lecture of the [----] version of Stanford's CS193p course (developing applications for iOS using SwiftUI). Animation. Demonstrates explicit animation with withAnimation() creating custom animation constants using extensions on Animation struct and debugging animation issues by slowing down timing. To demonstrate animation a restart functionality is"
YouTube Link 2025-12-03T20:59Z 1M followers, [----] engagements
Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing