COSC 425 - 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 learning decision trees, neural network learning, statistical learning methods, genetic algorithms, Bayesian learning methods, explanation-based learning, and reinforcement learning. Programming assignments include hands-on experiments with various learning algorithms.

(RE) Prerequisite(s): 302; Electrical and Computer Engineering 313 or Mathematics 323.
Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor.

Undergraduates

Graduate Students

COSC 425 - Machine Learning