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Apr 19, 2024
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COSC 425 - Introduction to Machine Learning3 Credit Hours
Machine learning is concerned with computer programs that automatically improve their performance through experience. This course covers the theory and practice of machine learning from a variety of perspectives. We cover topics such as clustering, decision trees, neural network learning, statistical learning methods, Bayesian learning methods, dimension reduction, kernel methods, and reinforcement learning. Programming assignments include implementation and hands-on experiments with various learning algorithms.
(RE) Prerequisite(s): ECE 313 or ECE 317 or MATH 323 with a grade of C or better; and MATH 251 or MATH 257 with a grade of C or better.
Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor.
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