Machine Learning and AI

Catalog description

This course will cover fundamental machine learning models used to solve financial problems and improve business decisions. The course will cover supervised (predictive), unsupervised (descriptive) and reinforcement learning models. Particular attention will be given to understanding the machine learning process including data collection, data wrangling, model building, model evaluation and model deployment. Software: cloud-based analytics services, and computer programming. Prerequisite: FNA 631.