Mathematical Optimization and Machine Learning

Mathematical optimization and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that ML cannot. Machine learning makes predictions while MIP makes decisions.

For Data Scientists to be effective, an understanding of MIP and when to use it is critical, as ML does not solve all problems effectively.

In this webinar you will learn:

The latest trends in ML and Artificial Intelligence
Key findings from the Forrester Mathematical Optimization Survey
How you can use MIP in concert with ML techniques
How industries are using MIP today to efficiently use resources, often resulting in time savings and millions of dollars in cost savings

Presented Materials

You can download the materials associated with this webinar here.