CS 238 - Machine Learning

Semester Hours: 4

In this course students will apply Machine Learning techniques to extract information from data. Topics covered will be relevant to modern “Big Data” problems. Students will master basic concepts and an intuitive understanding of machine learning techniques and their application to a variety of problems. Topics covered include classification and regression, Bayes’ Theorem and Baysian Statistics, Neural Networks, Decision Trees, K-Nearest Neighbors analysis and Support Vector Machines.