CMSC 35400
Machine LearningPrerequisites: 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: P. NiyogiQuarter offered: Spring
Last Verified by Sharon Salveter on 8 April, 2003.