Chapter 6 Supervised Learning Principles: An Application in International Strategy

Description

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.

Concepts discussed :

• 1 analysis of commercial data

• 2 international deployment strategies

Pre-Session Activities/Resources

• Datar, Srikant M., and Caitlin N. Bowler. 2019a. “Chateau Winery (A): Unsupervised Learning | Harvard Business Publishing Education.” 2019. https://hbsp.harvard.edu/product/119023-PDF-ENG?Ntt=chateau+winery&itemFindingMethod=Search.

Session Activities/Resources

• Datar, Srikant M., and Caitlin N. Bowler. 2019b. “Chateau Winery (B): Supervised Learning | Harvard Business Publishing Education.” 2019. https://hbsp.harvard.edu/product/119024-PDF-ENG?itemFindingMethod=Other.

Post-Session Activities/Resources

General Resources