MSBA 8180 - Machine Learning II

This course advances the student’s understanding of machine learning techniques, emphasizing the application of these techniques to business datasets. Students use R and Python and other tools to better understand concepts, including neural networks, clustering algorithms, naïve Bayes, and ensemble techniques such as Random Forests.

Prerequisite: MSBA 8170

Credits: 4