MATH 470 Machine Learning Algorithms

Topics include dimension reduction, featurecreation and extraction, kernel methods andsmoothing, supervised learning techniques such asnearest neighbors and support vector machines,un-supervised learning techniques such asclustering, 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