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CMSC422 - Introduction to Machine Learning (view source)
Revision as of 19:56, 4 April 2017
, 19:56, 4 April 2017no edit summary
'''Course Information''' <br>
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.
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! Instructor
! Section
! Day & Time
! Location
|- style="vertical-align:top;" |
| James Reggia || style="vertical-align:top;" | 0101 || TuTh 12:30pm - 1:45pm || style="vertical-align:top;" | [http://maps.umd.edu/map/index.html?Welcome=False&MapView=Detailed&LocationType=Building&LocationName=406 CSI 2117]<br>
|- style="vertical-align:top;" |
| David Jacobs || style="vertical-align:top;" | 0201 || MW 2:00pm - 3:15pm || style="vertical-align:top;" | [http://maps.umd.edu/map/index.html?Welcome=False&MapView=Detailed&LocationType=Building&LocationName=406 CSI 2117]
|}
''' Course Prerequisite(s) ''' <br>
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Recommended: STAT400.
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