Minicurso

The Hitchhiker’s Guide to Responsible Machine Learning

The purpose of the workshop is to discuss and test methods for explaining predictive models such as LIME, SHAP, Partial Dependence, Variable Importance, etc.

We will discuss and practise these methods with the DALEX package (for R and Python), so in addition to the methodological part, part of the time will be devoted to a hands-on workshop on your own laptop.

As the backbone we will use is the monograph Explanatory Model Analysis - Explore, Explain, and Examine Predictive Models available online https://ema.drwhy.ai/.

After the workshop, participants will have a practical understanding and experience in techniques needed to compare and explain several predictive models.