Winter 2021 STAT 37710

Course: STAT 37710=CAAM 37710, CMSC 35400

Title: Machine Learning

Instructor(s): Yuxin Chen

Teaching Assistant(s): TBA

Class Schedule: Sec 1: TR 11:20 AM–12:40 PM (Remote)

Textbook(s): Bishop, Pattern Recognition and Machine Learning; ShaiShalev-Shwartz and Shai Ben-David, Understanding Machine Learning

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.