The University of New Mexico

Introduction to Machine Learning

CS 429 / 529 (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 and STAT 345 and (MATH 314 or MATH 321)


Prerequisites / Corequisites

Data Structures and Algorithms II - CS 362


Elements of Mathematical Statistics and Probability Theory - STAT **345


Linear Algebra with Applications - MATH **314


Linear Algebra - MATH **321


Course Search:




Keyword Search:

Office of the Registrar

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

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