CMPS 422 - Machine Learning

Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0

Problem formulation and feature engineering. Supervised and unsupervised learning tasks and their implementation and performance assessment. Challenges with model training, memory allocation, parameter search, and fine-tuning.

Prerequisite(s): CMPS 340, CMPS 261, and either MATH 270 or MATH 272, all with a grade of C or better.