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Unformatted text preview: Related AI Classes CS229 covered a broad swath of topics in machine learning, compressed into a single quarter. Machine learning is a hugely interdisciplinary topic, and there are many other sub- communities of AI working on related topics, or working on applying machine learning to different problems. Stanford has one of the best and broadest sets of AI courses of pretty much any university. It offers a wide range of classes, covering most of the scope of AI issues. Here are some some classes in which you can learn more about topics related to CS229: AI Overview • CS221 (Aut): Artificial Intelligence: Principles and Techniques. Broad overview of AI and applications, including robotics, vision, NLP, search, Bayesian networks, and learning. Taught by Dr. Peter Norvig (Google) and Professor Sebastian Thrun, who works on autonomous cars and led the winning DARPA Grand Challenge team. Robotics • CS223A (Win): Robotics from the perspective of building the robot and controlling it; focus on manipulation. Taught by Professor Oussama Khatib, who works on mobile manipulation and many aspects of robotics (and built the big robots in the AI Lab)....
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This document was uploaded on 01/06/2012.
- Fall '09
- Machine Learning