MATH 4720 STATISTICAL DATA MINING

This is an introductory course to statistical machine learning. It covers some fundamental concepts, popular techniques, and algorithms in statistical machine learning. Topics include: proabilistic reasoning. Markov network, belief learning, supervised learning, unsupervised learning, linear models, latent linear models, and dynamical models. Prerequisite: MATH 3710 Revised 10/29/15

Credits

3