Overview Artificial Intelligence Course | Stanford CS221: Learn AI (Autumn 2019) β1 644,000 87 min Start lesson
Machine Learning 1 - Linear Classifiers, SGD | Stanford CS221: AI (Autumn 2019) β2 444,000 80 min Start lesson
Machine Learning 2 - Features, Neural Networks | Stanford CS221: AI (Autumn 2019) β3 71,000 82 min Start lesson
Machine Learning 3 - Generalization, K-means | Stanford CS221: AI (Autumn 2019) β4 43,000 83 min Start lesson
Search 1 - Dynamic Programming, Uniform Cost Search | Stanford CS221: AI (Autumn 2019) β5 91,000 80 min Start lesson
Search 2 - A* | Stanford CS221: Artificial Intelligence (Autumn 2019) β6 48,000 81 min Start lesson
Markov Decision Processes 1 - Value Iteration | Stanford CS221: AI (Autumn 2019) β7 457,000 83 min Start lesson
Markov Decision Processes 2 - Reinforcement Learning | Stanford CS221: AI (Autumn 2019) β8 77,000 74 min Start lesson
Game Playing 1 - Minimax, Alpha-beta Pruning | Stanford CS221: AI (Autumn 2019) β9 39,000 81 min Start lesson
Game Playing 2 - TD Learning, Game Theory | Stanford CS221: Artificial Intelligence (Autumn 2019) β10 26,000 79 min Start lesson
Factor Graphs 1 - Constraint Satisfaction Problems | Stanford CS221: AI (Autumn 2019) β11 36,000 81 min Start lesson
Factor Graphs 2 - Conditional Independence | Stanford CS221: AI (Autumn 2019) β12 17,000 77 min Start lesson
Bayesian Networks 2 - Forward-Backward | Stanford CS221: AI (Autumn 2019) β14 25,000 71 min Start lesson
Bayesian Networks 3 - Maximum Likelihood | Stanford CS221: AI (Autumn 2019) β15 19,000 83 min Start lesson