Jo Boaler on How to Learn Math | Lex Fridman Podcast #226
Given the increasing importance of mathematics in the world, it may be as crucial to success as literacy. Jo Boaler is a professor of mathematics education at Stanford and the co-founder of youcubed. In this video, she sits down with Lex Fridman to talk about learning math. OUTLINE: 0:00 – Introduction 0:23 – What is […]
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What is Design Thinking and Why Should You Care?
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 you’re 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. […]
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Daphne Koller on Biomedicine and Machine Learning
Lex Fridman interviews Daphne Koller, a professor of computer science at Stanford University, a co-founder of Coursera with Andrew Ng and Founder and CEO of insitro, a company at the intersection of machine learning and biomedicine. This conversation is part of the Artificial Intelligence podcast. Time index: 0:00 – Introduction 2:22 – Will we one […]
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Andrew Ng on Deep Learning, Education, and Real-World AI
Lex Fridman lands an interview with the one and only Andrew Ng. Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a […]
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Stanford Machine Learning Lecture on Linear Classifiers and SGD
Professor Percy Liang, Associate Professor of Computer Science and Statistics, delivers a lecture on Linear Classifiers and SGD.
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Stanford AI Course Lecture 1
Associate Professor Percy Liang Associate Professor of Computer Science and Statistics and delivers this introductory lecture on AI.
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Donald Knuth on Algorithms, Complexity, Life, and The Art of Computer Programming
Donald Knuth is one of the greatest and most impactful computer scientists and mathematicians ever. He is the recipient in 1974 of the Turing Award, considered the Nobel Prize of computing. He is the author of the multi-volume work, the magnum opus, The Art of Computer Programming. He made several key contributions to the rigorous […]
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Fireside Chat with Christopher Manning
In this video from Microsoft Research, Susan Dumais sits down with Christopher Manning is a Professor of Computer Science and Linguistics at Stanford University. Manning has coauthored leading textbooks on statistical approaches to natural language processing (Manning and Schuetze, 1999) and information retrieval (Manning, Raghavan, and Schuetze, 2008). His most recent work has concentrated on […]
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Building Neural Network Models That Can Reason
Deep learning has had enormous success on perceptual tasks but still struggles in providing a model for inference. Here’s an interesting talk about making neural networks that can reason. To address this gap, we have been developing networks that support memory, attention, composition, and reasoning. Our MACnet and NSM designs provide a strong prior for […]
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Reinforcement Learning Lecture 16 – Monte Carlo Tree Search
In this video, Stanford professor Emma Brunskill explore Monte Carlo Tree Search and how it applies to reinforcement learning.
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