Machine Learning

Catalog description

This is a survey of machine learning theory and practice. The course covers the fundamental concepts and algorithms that allow computers to improve performance over time. Techniques enabling supervised learning, unsupervised learning and reinforcement learning will be covered. Lecture Hours: 3 Repeatability: May be repeated for credit one time. Grade Mode: Normal, Audit College Restrictions: School of Comp & Cyber Science Course Level Restrictions: Graduate Semester Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.