BAT-3305 Machine Learning

The study and implementation of machine learning algorithms to solve problems that involve big data sets in business analytics and related applications. Topics include logistic regression, k-nearest neighbors, linear discriminant analysis, classification trees, k-means clustering, principal component analysis, text mining and sentiment analysis among others, as well as how to choose the best analytic strategy in different business scenarios. (Offered every Spring.) Prerequisite: BAT 3303, MATH 2308