CMSC422 - Introduction to Machine Learning

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Course Information
Machine Learning studies representations and algorithms that allow machines to improve their performance on a task from experience. This is a broad overview of existing methods for machine learning and an introduction to adaptive systems in general. Emphasis is given to practical aspects of machine learning and data mining.

Instructor Section Day & Time Location
James Reggia 0101 TuTh 12:30pm - 1:45pm CSI 2117
David Jacobs 0201 MW 2:00pm - 3:15pm CSI 2117

Course Prerequisite(s)
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Recommended: STAT400.

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