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6 件
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2:41:47EN
Lex Fridman· 2021年6月12日ポッドキャスト · 2 人Geometry Is the Cilantro of Mathゲスト Jordan Ellenberg · ホスト 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· 2020年6月27日ポッドキャスト · 2 人The Idea Once Called a Devolution Now Powers Almost Every New Chipゲスト David Patterson · ホスト 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.インフラとデプロイOpen-source ecosystemsBenchmarks+1
57:30EN
Lex Fridman· 2019年9月26日ポッドキャスト · 2 人400 Spins in a Pocket, and a Universe Too Small to Store Themゲスト Leonard Susskind · ホスト 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 Fridmanポッドキャスト · 2 人Machine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You Thinkゲスト MIT Sloan · ホスト 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.モデルと学習機械学習の基礎AI Strategy+3
37:00EN
Lex FridmanポッドキャストInside the YouTube Algorithm: Related Graphs, Satisfaction Surveys and the Viewers Who Are Part of the Codeホスト 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.モデルと学習Recommendation systemsSearch & retrieval+3
10:39EN
Lex FridmanポッドキャストStatistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between Themホスト 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.モデルと学習機械学習の基礎Decision Making+2