Spring 2022 STAT 37710

Course: STAT 37710=CAAM 37710, CMSC 35400

Title: Machine Learning

Instructor(s): Yuxin Chen

Class Schedule: Sec 1: TR 9:30 AM-10:50 PM in Stuart 102

Description: This course provides hands-on experience with a range of contemporary machine learning algorithms, as well as an introduction to the theoretical aspects of the subject. Topics covered include: the PAC framework, elements of computational learning theory, the VC dimension, boosting, Bayesian learning, graphical models, clustering, dimensionality reduction, linear classifiers, kernel methods including SVMs, and an introduction to statistical learning theory.