CS 429 - Introduction to Machine Learning - 3 credit hours
Introduction to principles and practice of systems that improve performance through experience. Topics include statistical learning framework, supervised and unsupervised learning. Bayesian analysis, time series analysis, reinforcement learning, performance evaluation and empirical methodology; design tradeoffs.
Prerequisite: 362 or 530 or 561.
Course allowed for graduate credit to students enrolled in a graduate program.
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(505) 277-3112 (phone)
(505) 277-6927 (fax)
Web site questions:
All other questions:
University of New Mexico
Department of Computer Science
Mail stop: MSC01 1130
1 University of New Mexico
Albuquerque, NM 87131-0001
Department of Computer Science
Mail stop: MSC01 1130
1 University of New Mexico
Albuquerque, NM 87131-0001
