Isenberg School of Management 655 - Machine Learning for Analytics

This course provides an introduction to topics in managerial data mining, and related data retrieval and manipulation content. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially-focused course, students will learn how to use such models and interpret output. Students will also be introduced to a programming language for extraction and manipulation of data. Experiential exercises will be assigned using leading industry applications.

Open to full-time MBA students in the Isenberg School of Management and MS Engineering Management students. Pre Req: SCH-MGMT 650