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 not be repeated for credit. Grade Mode: Normal, Audit Schedule Type (Primary): Lecture Click here for the Schedule of Classes.