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C S 346. Pattern Recognition and Machine Learning
Organized review of basic theoretical concepts and methods of machine learning and recognition; decision space and linguistic and relational representation of objects; statistical and deterministic recognition algorithms; various types of learning, including adaptive, procedural, and inductive; selected applications; and medical consulting, determination of cost-optimal classification rules, inferential information systems, and computer vision.
Prerequisite: C S 273 and C S 348.
3 hours, or ¾ or 1 unit.
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