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2:44:16EN
Lex Fridman· 2022년 7월 14일팟캐스트 · 2명IQ at Eleven Predicted Survival at Eighty. Richard Haier on the Finding Psychology Tried to Bury게스트 Richard Haier · 진행자 Lex FridmanLex Fridman talks with psychologist Richard Haier about the g factor, The Bell Curve, group differences, and why intelligence research became the most radioactive topic in the field.
2:02:45ENLex Fridman· 2020년 12월 26일팟캐스트Steal the Code: You Get Zero Points for Making the Algorithm Run진행자 Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.
2:08:26ENLex Fridman· 2020년 8월 23일팟캐스트 · 2명Satisfying Lectures Don't Stick: Grant Sanderson on Feynman, Fear, and Hitting Publish게스트 Grant Sanderson · 진행자 Lex FridmanThe 3Blue1Brown creator talks with Lex Fridman about why the nicest explanations can fail, why he envies Bell Labs, and why the experts most qualified to teach are the ones least willing to post.
1:10:16ENLex Fridman· 2020년 5월 15일팟캐스트 · 2명Most People See the Black Dress. Stephen Schwarzman Sees the White Lint.게스트 Stephen Schwarzman · 진행자 Lex FridmanThe Blackstone co-founder on pattern recognition, why entrepreneurship is a team sport, and why the United States cannot afford to sleepwalk through AI.
1:29:10ENLex Fridman· 2020년 2월 20일팟캐스트 · 2명Andrew Ng: The Hardest Part of AI Is Rarely the Algorithm게스트 Andrew Ng · 진행자 Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.
1:18:35ENLex Fridman· 2019년 12월 21일팟캐스트 · 2명The last job Sebastian Thrun wants is one he is already good at게스트 Sebastian Thrun · 진행자 Lex FridmanLex Fridman talks with the roboticist behind Stanley, Google’s self-driving car, Udacity, and Kitty Hawk about learning, safety, and why traffic is a choice.
49:53ENLex Fridman· 2019년 11월 25일팟캐스트 · 2명Gilbert Strang still teaches with thick chalk and four subspaces게스트 Gilbert Strang · 진행자 Lex FridmanThe MIT linear-algebra legend talks with Lex Fridman about OpenCourseWare, singular values, neural nets as a million folds, and why calculus hogged the undergraduate timetable.
1:44:11ENLex Fridman· 2019년 8월 27일팟캐스트 · 2명A Single GPU Is Enough: Jeremy Howard on Teaching Deep Learning게스트 Jeremy Howard · 진행자 Lex FridmanThe fast.ai founder tells Lex Fridman why domain experts, not more papers or more TPUs, will decide whether deep learning actually helps people.
1:28:53ENLex Fridman팟캐스트 · 2명Machine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You Think게스트 MIT Sloan · 진행자 Lex FridmanLex Fridman's non-technical MIT Sloan lecture explains how machine learning works, why it is so capable at perception, and where it still breaks in the real world.
26:45ENLex Fridman팟캐스트 · 2명Start Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep Learning게스트 Andrew Ng · 진행자 Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.
1:02:06ENLex Fridman팟캐스트Deep Learning for Self-Driving Cars: Why Edge Cases and Human Nature Are the Real Problem진행자 Lex FridmanLex Fridman opens MIT's 6.S094 with a tour of what deep learning is, how it works, what it has achieved and where it still breaks, framed around autonomous vehicles.