The University of New Mexico

Introduction to Machine Learning

CS 529 / 429 (3)

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


Prerequisites / Corequisites

Data Structures and Algorithms II - CS 362


Geometric and Probabilistic Methods in Computer Science - CS 530


Algorithms/Data Structure - CS 561


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Office of the Registrar

MSC 11 6325
1 University of New Mexico
Albuquerque, NM 87131

Phone: (505) 277-8900
 Fax: (505) 277-6809