Introduction to modern machine learning concepts, techniques, and algorithms. Topics include regression, kernels, support vector machines, feature selection, boosting, clustering, hidden Markov models, and Bayesian networks, with programming assignments applying theory to real-world data.

Level

grad

Department

CAS

Credits

4

Prerequisites

CS 365