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2:41:47EN
Lex Fridman· 2021년 6월 12일팟캐스트 · 2명Geometry Is the Cilantro of Math게스트 Jordan Ellenberg · 진행자 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· 2020년 6월 27일팟캐스트 · 2명The Idea Once Called a Devolution Now Powers Almost Every New Chip게스트 David Patterson · 진행자 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.인프라와 배포Open-source ecosystemsBenchmarks+1
57:30EN
Lex Fridman· 2019년 9월 26일팟캐스트 · 2명400 Spins in a Pocket, and a Universe Too Small to Store Them게스트 Leonard Susskind · 진행자 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 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.모델과 학습머신러닝 기초AI Strategy+3
37:00EN
Lex Fridman팟캐스트Inside the YouTube Algorithm: Related Graphs, Satisfaction Surveys and the Viewers Who Are Part of the Code진행자 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.모델과 학습Recommendation systemsSearch & retrieval+3
10:39EN
Lex Fridman팟캐스트Statistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between Them진행자 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.모델과 학습머신러닝 기초Decision Making+2