内容有

Overview of AI, Search

Statistics, Uncertainty, and Bayes networks

Machine Learning

Hidden Markov models and Bayes filters

Markov Decision Porcesses 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

比较感兴趣的有机器学习、贝叶斯网络、隐马可夫链、图像处理

有想一起学习的么？

官网：http://robots.stanford.edu/cs221/online.html

HN: http://news.ycombinator.com/item?id=2941185

reddit讨论：http://www.reddit.com/r/aiclass