BUS 659 - Machine Learning for Managers

Prerequisite, BUS 603 or BUS 609. This course builds a foundation of machine learning and statistical models, focusing on knowing when and how these models can contribute to business objectives. Topics include uncertainty and bias-variance trade off, linear regression, classification models such as logistic regression, regularization models (Lasso and Ridge), decision trees and random forest, as well as interpretable machine learning and data management in SQL. Students will learn to apply these models in R or Python, but the course assumes no prior coding experience. Letter grade. (Offered fall semester.) 3 credits