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Course: STAT 37710=CMSC 35400
Title: Machine Learning
Instructor(s): Risi Kondor
Course Assistant(s): Zhe Liu and Dinah Shender
Class Schedule: Sec 01: TR 1:30–2:50PM in Ryerson 276
Office Hours:  
Textbook(s): Recommended: Murphy, Machine Learning: A Probabilistic Perspective, 1st ed.
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.