Machine Learning

Catalog description

The purpose of this course is to develop understanding of machine learning techniques and deal with the issue of extracting information and knowledge from large data sets. The extracted knowledge is subsequently used to support human decision-making with respect to summarization, prediction, and the explanation of observed phenomena (e.g., patterns, trends, and customer behavior). Machine learning techniques such as logistic regression, decision, trees, and neural networks can be used to discover relationships and patterns that shed light on business problems. This course will examine methods and statistical tools for mining massive amounts of data for new and useful information, uncovering factors that affect purchasing patterns, and identifying potential profitable investments and opportunities. P: BIA 253 and (BUS 229 or BIA 261 ).