MATH 470 Machine Learning Algorithms

Topics include dimension reduction, feature creation and extraction, kernel methods and smoothing, supervised learning techniques such as nearest neighbors and support vector machines, un-supervised learning techniques such as clustering, and cross-validation.

Credits

3

Prerequisite

A “C” or better in MATH 320 and in CS 160 or CS 170

Notes

Three hours per week