UNM Computer Science

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 and STAT 345 and (MATH 314 or MATH 321)