Introduction to Responsible Machine Learning

What? The workshop focuses on responsible machine learning, including areas such as model fairness, explainability, and validation. Why? To gain the theory and hands-on experience in developing safe and effective predictive models. For whom? For those with basic knowledge of R, familiar with supervised machine learning and interested in model validation. What will be used? We will use the DALEX package for explanations, fairmodels for checking bias, and modelStudio for interactive model analysis.