MATH 7740
Last Updated
- Schedule of Classes - July 10, 2025 1:15PM EDT
- Course Catalog - June 11, 2015 6:21PM EDT
Classes
MATH 7740
Course Description
Course information provided by the 2014-2015 Catalog.
The course aims to present the developing interface between machine learning theory and statistics. Topics are classification and pattern recognition, support vector machines, neural networks, tree methods, and boosting.
Prerequisites/Corequisites Prerequisite: basic mathematical statistics (MATH 6740 or equivalent) and measure theoretic probability (MATH 6710).
When Offered Fall.
Regular Academic Session.
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Malott Hall 205
Instructors
Wegkamp, M
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Additional Information
Instruction Mode: In Person
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