Jo Boaler: How to Learn Math | Lex Fridman Podcast #226

Lex Fridman · Beginner ·🔐 Cybersecurity ·4y ago
Skills: Maths for ML70%
Jo Boaler is a professor of mathematics education at Stanford and the co-founder of youcubed. Please support this podcast by checking out our sponsors: - Truebill: https://truebill.com/lex - Fundrise: https://fundrise.com/lex - ExpressVPN: https://expressvpn.com/lexpod and use code LexPod to get 3 months free - Indeed: https://indeed.com/lex to get $75 credit - Stamps.com: https://stamps.com and use code LEX to get free postage & scale EPISODE LINKS: Jo's Twitter: https://twitter.com/joboaler youcubed: https://www.youcubed.org/ Jo's Books: https://amzn.to/2Y3S2xW Elastic by Leonard Mlodinow: https://amz.run/4tCk Deep Work by Cal Newport: https://amz.run/4tCl 3Blue1Brown: https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw Manim: https://github.com/3b1b/manim PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 0:23 - What is beautiful about mathematics? 9:12 - How difficult should math really be? 17:31 - Students giving up on math 28:52 - Improving math education in schools 38:49 - Inspiring mathematical creativity 56:35 - youcubed 1:00:55 - Best methods for studying math 1:21:29 - Advice for young people SOCIAL: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Reddit: https://reddit.com/r/lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
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 21 Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars
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 24 MIT 6.S094: Deep Learning
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 25 MIT Self-Driving Cars (2018)
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 26 MIT 6.S094: Deep Reinforcement Learning
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 27 MIT 6.S094: Computer Vision
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 28 MIT 6.S094: Deep Learning for Human Sensing
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 30 MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
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 31 Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)
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 32 Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
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 33 Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)
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 35 Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars
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 36 Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
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 37 MIT AGI: Cognitive Architecture (Nate Derbinsky)
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 38 MIT Advanced Vehicle Technology Study (MIT-AVT)
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 39 MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)
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 40 Geoffrey Hinton: What are you excited about in deep learning?
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 41 Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
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 51 Drago Anguelov (Waymo) - MIT Self-Driving Cars
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 52 Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
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 53 Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars
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 54 Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
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 56 Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
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 57 MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
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Chapters (9)

Introduction
0:23 What is beautiful about mathematics?
9:12 How difficult should math really be?
17:31 Students giving up on math
28:52 Improving math education in schools
38:49 Inspiring mathematical creativity
56:35 youcubed
1:00:55 Best methods for studying math
1:21:29 Advice for young people
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