Course: CAAM 37710=STAT 37710, CMSC 35400
Title: Machine Learning
Instructor(s): Yuxin Chen
Teaching Assistant(s): TBA
Class Schedule: Sec 01: TuTh 9:40 AM-11:00AM (Remote)
Prerequisite(s):
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, Bayesian learning, graphical models, clustering, dimensionality reduction, kernel methods including SVMs, matrix completion, neural networks, and an introduction to statistical learning theory.
