Session 10 : Fintech, financial industry and new technologies: introduction to random forest methods and gradient reinforcement

MBA HEC Montréal

Thierry Warin (HEC Montréal & Cirano (Montréal))


The financial industry is one of the first industries to have begun its digital transformation. The importance of managing internal data, but also of contextualizing it with external data while thinking about new data sources has accelerated this transformation. In this session, we discuss ensemble models, a powerful technique that allows for the combination of many models to create improved classifiers. We will use a case study based on a U.S. financial firm whose goal is to build predictive models to improve efficiency in decision making. We will also begin to address the ethical issues and statistical biases of data collection as well as the algorithmic methods themselves.

Activities/Resources before session

Activities/Resources during session