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