Covers practical skills in machine learning including techniques for clustering, classification, regression, feature selection, and model compression. Emphasizes hands-on application of methods via programming on real-world datasets.

Level

grad

Department

CAS

Credits

4

Prerequisites

CS 111/112; CS 132 or MA 242; CS 237 or MA 581