Machine Learning

CS 531 (3)

(Also offered as ECE 517)

Decision functions and dichotomization; prototype classification and clustering; statistical classification and Bayes theory; trainable deterministic and statistical classifiers. Feature transformations and selection. Introduction to sequential, hierarchical and syntactic methods.

Prerequisite: STAT **345 or ECE **340.



Prerequisites / Corequisites

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


Probabilistic Methods in Engineering - ECE **340



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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