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.
Prerequisite
A “C” or better in MATH 320 and in CS 160 or CS 170
Notes
Three hours per week