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CS 7200 - Machine Learning

Description
The course provides foundations of machine learning, mathematical derivation and implementation of the algorithms and their applications. Topics include supervised learning, learning theory, graphical model, reinforcement learning, Bayesian techniques, and deep learning. In addition, practical applications are considered using the machine learning algorithms. The course also requires an open-ended research program. Prerequisites: CS 5200 and STAT 5020, or permission of instructor. Credit cannot be received for both DATA 7200 and CS 7200. Approved for distance education.
Recent Professors
Rob Green, Qing Tian, Robert Green
Recent Semesters
Spring 2024, Spring 2022, Spring 2020
Credits
3
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