BUS-F 579 Topics in Finance: Fintech Applications in Machine Learning

• 7 weeks
• 1.5 credits
• Prerequisite(s): BUS Grad Students Only

This class shows students how to apply machine learning concepts to better understand financial markets. The course begins by discussing the value of information in financial markets. Students will then learn how to predict a range of financial outcomes, especially home prices and loan defaults, by applying common machine learning techniques such as: K-means, (ii) principal components, (iii) linear regressions, (iv) logistic regressions, (v) regularization, (vi) k-nearest neighbors, and (vii) decision trees. The class concludes with an overview of the role of management in the fintech sector. Students will learn to apply their knowledge through data analysis projects.