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CSE 6243 - Adv Top Machine Learning |
Advanced machine learning topics including graphical models, kernel methods, boosting, bagging, semi-supervised and active learning, and tensor approach to data analysis.
3.000 Credit hours 3.000 Lecture hours Grade Basis: ALP All Sections for this Course Dept/Computer Science Department Restrictions: May not be enrolled in one of the following Levels: Undergraduate Semester Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * Prerequisites: Graduate Semester level CSE 6740 Minimum Grade of D or Graduate Semester level CS 7641 Minimum Grade of D or Graduate Semester level ISYE 6740 Minimum Grade of D or Graduate Semester level CS 7616 Minimum Grade of D |
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