CMSC 35400
Machine Learning (STAT 37710)Prerequisites: Consent of instructor.
Catalog 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.
Instructors: R. KondorQuarter offered: Spring
Last Verified by Sharon Salveter on 18 February, 2013.