MATH 475 - Machine Learning

This course introduces the fundamental concepts, methods, and applications of machine learning. Students will explore key topics such as supervised and unsupervised learning, model training, evaluation and interpretation, and the use of algorithms for prediction, classification, clustering, and dimensionality reduction. Emphasis will be placed on both the mathematical foundations and practical implementation of machine learning techniques using modern programming tools.