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2:44:16EN
Lex Fridman· 14 jul 2022Pódcast · 2 vocesIQ at Eleven Predicted Survival at Eighty. Richard Haier on the Finding Psychology Tried to BuryInvitado: Richard Haier · Presenta: 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· 26 dic 2020PódcastSteal the Code: You Get Zero Points for Making the Algorithm RunPresenta: 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· 23 ago 2020Pódcast · 2 vocesSatisfying Lectures Don't Stick: Grant Sanderson on Feynman, Fear, and Hitting PublishInvitado: Grant Sanderson · Presenta: 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· 15 may 2020Pódcast · 2 vocesMost People See the Black Dress. Stephen Schwarzman Sees the White Lint.Invitado: Stephen Schwarzman · Presenta: 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· 20 feb 2020Pódcast · 2 vocesAndrew Ng: The Hardest Part of AI Is Rarely the AlgorithmInvitado: Andrew Ng · Presenta: 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· 21 dic 2019Pódcast · 2 vocesThe last job Sebastian Thrun wants is one he is already good atInvitado: Sebastian Thrun · Presenta: 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· 25 nov 2019Pódcast · 2 vocesGilbert Strang still teaches with thick chalk and four subspacesInvitado: Gilbert Strang · Presenta: 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· 27 ago 2019Pódcast · 2 vocesA Single GPU Is Enough: Jeremy Howard on Teaching Deep LearningInvitado: Jeremy Howard · Presenta: 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 FridmanPódcast · 2 vocesMachine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You ThinkInvitado: MIT Sloan · Presenta: 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 FridmanPódcast · 2 vocesStart Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep LearningInvitado: Andrew Ng · Presenta: 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 FridmanPódcastDeep Learning for Self-Driving Cars: Why Edge Cases and Human Nature Are the Real ProblemPresenta: 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.