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CSĀ 412. Introduction to Machine Learning. 3 or 4 hours.

Theory and implementation of systems that improve automatically based on past experience, including classification, density estimation, clustering, and online learning tasks and solutions. Course Information: 3 undergraduate hours. 4 graduate hours. Extensive computer use required. MATLAB will be used for some of the homework assignments, but prior experience with it is not required. Prerequisite(s): CS 251; and IE 342 or STAT 381; or consent of the instructor.