A good set of data is the core of every optimization project. But why is so crucial, to use real data already when still implementing the software? Let us share some insights we gained on data during our optimization projects.

At first glance, infeasible problems present a major challenge. Where do the problems come from and how can you recognise and solve them? In this episode, we will explain why you shouldn’t panic about such problems and what options there are for solving them. Have fun with it!

Optimization and Machine Learning can enhance each other and demonstrate what their combined strength can achieve. A perfect example of this is linear regression. We show you how this works and what you can do with it in this episode.