Cluster creation and usage is one of the most common processes in Machine Learning, whether as an exploratory tool, preprocessing step, or even within a feature engineering process. However... have you taken the time to truly understand them? Have you ever had to explain them to someone on the business side? It's not an easy process, yet it remains a critical phase in Machine Learning projects: understanding the solution.

In this session, we will explore common problems and how to address or mitigate them, applying model interpretation techniques and sharing some tricks directly extracted from production code