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.

Simulation and optimization are two terms that are often used almost synonymously. Yet they are two fundamentally different techniques. Our new episode “One more thing about…” explains the difference.

It seems virtually impossible to find a model for our decision-making which takes all details into account. In this episode we demonstrate how data abstraction can help to model a problem, thus making it the core of successful optimization.