MLOps – what you need to know
Kickstart your Machine Learning Operation (MLOps) journey. Hear about best practices for deployment of ML systems and customer journey for MLOps adopt...
Mathematical optimization is the art of finding best solutions to difficult problems, from organizing movements of planes in a large airport to the placement of windmills.
It can help you make the most of your data and resources, resulting in cost savings and higher revenues – and improved products or services. Complex business and engineering problems in a wide variety of industries can be solved with mathematical optimization.
In this seminar, we will give a short introduction to optimization illustrated by three use cases: automotive, wind power, and aviation.
You will learn about: