Machine Learning for Business

Catalog description

This course introduces students to statistical tools for modeling and identifying patterns in complex data sets. The goal of machine learning is to develop predictions informed by data. Topics to be covered include model selection and evaluation, data preprocessing techniques, supervised classification models such as knn and ensemble learning techniques, and unsupervised learning via dimensionality and lustering. Application areas include Marketing (e.g., effectiveness of advertising and customer satisfaction), Financial economics (valuation), and Operations Management (resource allocation).