Session 8 : An Introduction to the Principles of Supervised and Unsupervised Learning

MBA HEC Montréal

Thierry Warin (HEC Montréal & Cirano (Montréal))


In this session, we discuss the fundamental concepts of supervised learning. We will explain the differences with unsupervised approaches. We will explain the steps of a machine learning model and their statistical reasons. We will apply these learnings based on a case study of a winery that wants to get to know its clients better. We will ask ourselves the question of the international deployment of this company and the data necessary to formalize an internationalization strategy.

Activities/Resources before session

Activities/Resources during session