Machine Learning I. 3.0 Credits. Class-2.0. Clinical-0.0. Lab-3.0. Work-0.0

Catalog description

This course covers algorithms for enabling artificial systems. Topics include machine learning from experience, supervised and unsupervised learning, reinforcement learning control, and learning theory. Upon completion, students should be able to demonstrate machine-learning techniques.