Machine Learning & Artificial Intelligence

3 credits

This course builds on Data Analytics 1 to provide students with advanced tools and skills forMachine learning (ML) in business practice. On the technical side, the course content extends to a wider range of algorithms as well as advanced methods for data sampling and model building and evaluation. More depth in application comes from student reports on current events in Machine Learning, and a course project that involves complete model construction and analysis for an actual business problem with an actual corporate data set. The course assumes the student has experience with the basic machine learning algorithms and the R codinglanguage.STEM-designated.