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CSCI 2956F - Topics in Machine Learning |
This half-credit, graduate-level seminar course covers current and emerging topics in machine learning. Topics may include kernel learning, learning using graphs, learning in high dimensions, and more. Topics will change by semester. Readings will be from recently published research papers. Prerequisite: CSCI 1550 or instructor approval.
0.500 Credit hours 0.500 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Computer Science Department Restrictions: May not be enrolled as the following Classifications: Semester Level 02 Semester Level 01 Prerequisites: Undergraduate level CSCI 1550 Minimum Grade of S |
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