Spring 2019:  CAAM 37710=STAT 37710, CMSC 35400

Course: CAAM 37710=STAT 37710, CMSC 35400

Title:  Machine Learning

Instructor(s):  Risi Kondor

Teaching Assistant(s):  TBA

Class Schedule:  Sec 01: MW 3:00 PM–4:20 PM in Stuart 104

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.