DS 315 - Statistical Learning

4.00 credits.

An analysis and implementation of statistical learning algorithms for regression and classification. Topics include GLMs, penalty methods, kNN, LDA, CART, random forests, SVMs and neural networks. *Prerequisite(s): MA 252. Fall semester, odd-numbered years.