Machine Learning for Business Analytics

9 units · Undergraduate

Intermittent: 9 units This course introduces students to the machine learning tools and software that drive modern predictive analytics in business settings. Students will gain an understanding of a variety of popular machine learning algorithms including linear and logistic regression, random forests, and neural networks. Each algorithm will be introduced with real-world business applications, and students will learn to implement these algorithms on data. The course is taught in the programming language R (prior programming experience is not required). Prerequisites: ( 21-259 or 21-254 or 21-256 ) and ( 36-200 or 36-220 or 36-225 or 70-207 )