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MIT 6.034 F10 Artificial Intelligence, Fall 2010
About this film
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabilistic inference. In these mega-recitations, teaching assistant Mark Seifter works through problems from previous exams in a lecture-style setting. Students are asked to participate, and emphasis is placed on being able to work the algorithms by hand. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Directors & creators
MIT OpenCourseWare
Subjects
artificial intelligence, patrick winston, search, machine learning, representation, architecture, constraint, probability, inference, rule based system, minimax, neural net, support vector machine, boosting, near miss, mark seifter
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