Prerequisites: graduate standing in the Masters of Science Online program

Description: A study of supervised machine learning that emphasizes discriminative methods. Covers the areas of regression and classification. Topics include linear methods, instance-based learning, neural networks, kernel machines, and additive models.

Credit: Credit is awarded for only one of CS 229 or CS 229V.