A Gentle Introduction to Multi-Objective Optimisation

Tutorial

Go to NumFOCUS academy page.

Optimising for multiple objectives is a non-trivial task, especially when they are in conflict. For example, how can one best overcome the classic trade-off between quality and cost of production, when the monetary value of quality is not defined? In this hands-on Python tutorial you will learn about Pareto Fronts and use them to optimise for multiple objectives simultaneously.

Speaker

Eyal Kazin

I am an ex-Cosmologist turned Data Scientist with over 10 years experience in Machine/Deep Learning, statistical inference. I am result driven and highly detail oriented, motivated by intellectual challenges and love analysing data to communicate insights for better decisions within organisations.