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2:41:47EN
Lex Fridman· 12 juin 2021Podcast · 2 voixGeometry Is the Cilantro of MathInvité : Jordan Ellenberg · Anime : Lex FridmanJordan Ellenberg tells Lex Fridman that the last 150 years of mathematics have been about one question: when two things count as the same.MathematicsMachine LearningScience Communication+2
1:49:51EN
Lex Fridman· 27 juin 2020Podcast · 2 voixThe Idea Once Called a Devolution Now Powers Almost Every New ChipInvité : David Patterson · Anime : Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.Infrastructure et déploiementOpen-source ecosystemsBenchmarks+1
57:30EN
Lex Fridman· 26 sept. 2019Podcast · 2 voix400 Spins in a Pocket, and a Universe Too Small to Store ThemInvité : Leonard Susskind · Anime : Lex FridmanLeonard Susskind tells Lex Fridman why quantum computers are not faster laptops, why string theory is a tool rather than a citizenship, and why nobody should claim to have found the bottom of the well.Black HolesConsciousnessPhilosophy of Science+2
1:28:53EN
Lex FridmanPodcast · 2 voixMachine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You ThinkInvité : MIT Sloan · Anime : 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.Modèles et entraînementFondamentaux du MLAI Strategy+3
37:00EN
Lex FridmanPodcastInside the YouTube Algorithm: Related Graphs, Satisfaction Surveys and the Viewers Who Are Part of the CodeAnime : Lex FridmanYouTube's head of search and discovery, Cristos Goodrow, explains to Lex Fridman how search and recommendations work, which signals matter, and how the team measures whether viewers are better off.Modèles et entraînementRecommendation systemsSearch & retrieval+3
10:39EN
Lex FridmanPodcastStatistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between ThemAnime : Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.Modèles et entraînementFondamentaux du MLDecision Making+2