Nov 21, 2024  
2024-2025 Undergraduate Catalog 
    
2024-2025 Undergraduate Catalog
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COSC 325 - Introduction to Machine Learning

3 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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