CSC 360 Machine Learning Fundamentals

An introduction to machine learning, including supervised and unsupervised learning, regression, classification, clustering, and model evaluation. Students build machine learning pipelines in a general-purpose programming language and implement selected algorithms by hand to understand underlying principles.

Credits

4

Prerequisite

CSC 261 with a C or better. Pre or Co-req: MAT 201 or MAT 272 or MAT 425

Corequisite

MAT 201 Introduction to Statistics, MAT 272 Applied statistics, or MAT 425 Mathematical Statistics.

Offered

spring