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.

There are many ways to make a project go awry. In today’s video, we explain three basic rules that almost guarantee your optimization project will screw up. If you’re a fan of epic project failures: Here comes the recipe!

Optimization projects are complex and for our customers, every optimization project is a journey into uncharted territory. How can we make sure, that our projects are going in the right direction? We divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. After the prototype in the last video, let’s see why we have phase 2 for the minimum viable product.