BANL 3200 - Machine Learning: Supervised Learning

Prerequisite: BANL 1100. The course consists of applied training in foundational topics for supervised learning such as linear regression, nearest neighbors and neural networks. It first builds a sound understanding of data preparation, exploration, and reduction methods. It covers both prediction as well as classification processes. The emphasis is on understanding the application of a wide range of modern machine learning techniques to specific decision-making situations across business domains, rather than on mastering the mathematical and computational foundations of the techniques. The R programming language will be used for instruction. 3 credits.