CMSC 35400
Machine LearningPrerequisites: CMSC 25000 or 35000 or consent of instructor.
Catalog Description: An introduction to the theory and practice of machine learning. The course will emphasize statistical approaches to the problem. Topics covered will range from pattern recognition, empirical risk minization and the Vapnik Chervonenkis theory, neural networks, decision trees, genetic algorithms, unsupervised learning, and multiple classifiers.
Instructors: P. NiyogiQuarter offered: Spring
Last Verified by Sharon Salveter on 8 April, 2003.