Machine Learning

Catalog description

This course will address the computational study of artificial systems that adapt to novel situations, discover patterns from data, and improve performance with practice through popular frameworks for learning, including supervised, reinforcement, and unsupervised learning. Students will examine a state-of-the-art overview of the field, emphasizing the core statistical foundations.