CSC 371 - Machine Learning

A survey of the field of machine learning, with an introduction to the fundamental algorithms in the field and the theory underpinning them. Topics include techniques for regression, classification, ensemble methods, and dimensionality reduction. Prerequisites: Proficiency in a high-level programming language and data structures, at the level expected in CSC 221, and MAT/CSC 220 (or permission of the instructor).

Satisfies a major requirement in Mathematics

Satisfies a minor requirement in Computer Science