CMSC 35400
Machine Learning (STAT 37710)Prerequisites: CMSC 25000 or 35000 or consent of instructor.
Catalog Description: This course is an introduction to the theory and practice of machine learning that emphasizes statistical approaches to the problem. Topics include pattern recognition, empirical risk minimization and the Vapnik Chervonenkis theory, neural networks, decision trees, genetic algorithms, unsupervised learning, and multiple classifiers.
Instructors: R. KondorQuarter offered: Autumn
Last Verified by Sharon Salveter on 8 April, 2003.