Play allClassic machine learning
71 videos • 43 hr 45 min
Part of AI and machine learning. Ordered by how many people recommended each video and for how long; 17 are classics.
1 2 3 4 5 6 George Hotz: Hacking the Simulation & Learning to Drive with Neural Nets | Lex Fridman Podcast #132
Lex Fridman
Recommended by 6 •
Classic7 8 9 Special Topics - The Kalman Filter (1 of 55) What is a Kalman Filter?
Michel van Biezen
Recommended by 5 •
Classic10 11 Social Physics: How Good Ideas Spread | Sandy Pentland | Talks at Google
Talks at Google
Recommended by 3 •
Classic12 13 14 Lecture 1 | Natural Language Processing with Deep Learning
Stanford University School of Engineering
Recommended by 3 •
15 The Power of Big Data and Psychographics | 2016 Concordia Annual Summit
Concordia
Recommended by 4 •
Classic16 Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1)
MLSS Iceland 2014
Recommended by 3 •
Classic17 18 19 Douglas Lenat: Cyc and the Quest to Solve Common Sense Reasoning in AI | Lex Fridman Podcast #221
Lex Fridman
Recommended by 3 •
20 21 22 23 24 25 26 27 28 29 30 31 32 George Yarish at #ScalaUA - Building a recommender system with matrix factorization
ScalaUA Conference
Recommended by 1 •
33 34 35 36 37 38 39 40 41 Freeman Dyson - Fermi's rejection of our work (94/157)
Web of Stories - Life Stories of Remarkable People
Recommended by 2 •
42 Artificial Intelligence in Kotlin: code school timetabling from scratch with OptaPlanner and Quarkus
Geoffrey's OptaPlanner channel
Recommended by 1 •
43 44 GoodGuesser: Sprinkle a little machine learning magic over your regular code!
lisperati
Recommended by 1 •
45 46 47 Karl Sims - Evolved Virtual Creatures, Evolution Simulation, 1994
MediaArtTube
Recommended by 2 •
Classic48 49 50 51 52 53 Bayes' Theorem - Conditional Probability Explained using Drone case
Vinsloev Academy
Recommended by 2 •
Hidden gem54 55 Artificial Life, Open-Ended Evolution, and the Origins of Biological Complexity
Santa Fe Institute
Recommended by 2 •
Hidden gem56 57 58 59 60 61 62 63 64 Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists
MIT OpenCourseWare
Top upload •
65 66 67 "Probabilistic scripts for automating common-sense tasks" by Alexander Lew
Strange Loop Conference
Top upload •
68 69 70 Classifying LEGO Bricks with Machine Learning - presented by Piotr Rybak
EuroPython Conference
Top upload •
71 Oliver Cobb - Protecting Your Machine Learning Against Drift: An Introduction
EuroPython Conference
Top upload •
