Explore major concepts, techniques, algorithms, and applications in machine learning. Evaluate machine learning methods and discuss practical case studies to produce solutions for real-world data analysis problems. Three lecture hours a week for one semester. Only one of the following may be counted: Artificial Intelligence 395T (Topic: Case Studies/Machine Learn), 391M, Computer Science 395T (Topic: Case Studies/Machine Learn), 391M. Prerequisite: Graduate standing.