ML-classes

ML-classes - Related AI Classes CS229 covered a broad swath...

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Related AI Classes CS229 covered a broad swath of topics in machine learning, compressed into a single quarter. Machine learning is a hugely inter-disciplinary 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 uni- versity. 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. Usually taught by Professor Andrew Ng. Robotics CS223A (Win): Robotics from the perspective of building the robot and controlling it; focus on manipulation. Taught by Professor Oussama Khatib (who builds the big robots in the Robotics Lab). CS225A (Spr): A lab course from the same perspective, taught by Professor Khatib. CS225B (Aut): Robot programming lab. A lab course where you get to play around with making mobile robots navigate in the real world. Taught by Dr. Kurt Konolige (Willow Garage). CS226 (Win): Statistical techniques in robotics. Algorithms for mobile robots; empha-
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This note was uploaded on 01/10/2012 for the course EE 216 taught by Professor Harris,j during the Fall '09 term at Stanford.

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ML-classes - Related AI Classes CS229 covered a broad swath...

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