UC Berkeley Introduction to AI Course

Topics covered in this course:

Search - DFS, BFS, UCS, Greedy Search, A* Search

Code

MultiAgent - Minimax, Alpha-Beta pruning, Expectimax

Code

Reinforcement Learning - Value Iteration, Q-learning, Approximate Q-learning

Code

Machine Learning - Perceptron, Non-linear Regression, Digit Classification, Recurrent Neural Network

Code

More Detail