Lecture notes from Sebastian Thrun and Peter Norvig's course on artificial intelligence, conducted in partnership with Stanford University and based on the course from that university CS221: Introduction to Artificial Intelligence.

Overview of AI, Search
Statistics, Uncertainty, and Bayes networks
Machine Learning
Hidden Markov models and Bayes filters
Markov Decision Processes and Reinforcement Learning
Adversarial planning (games) and belief space planning (POMDPs)
Logic and Logical Problem Solving
Image Processing and Computer Vision
Robotics and robot motion planning
Natural Language Processing and Information Retrieval