Machine Learning. ((3 Credits))

Catalog description

Prerequisite(s): Acceptance into a graduate program, or approval of the graduate program director. Explores the theory and algorithms, concepts and issues of machine learning. Topics include feature selection, neural networks, decision trees, K-nearest neighbor, clustering, reinforcement learning, genetic algorithms, deep learning and data mining. Implements machine learning approaches in real-world applications.