Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. With examples in R and Python.

Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. With examples in R and Python.

A step-by-step introduction to the most important methods of explainable machine learning (XAI). Learn the intuitions, mathematical foundations and application examples of LIME, SHAP, Break Down, Partial Dependece, Permutational Variable Importance, Accumulated Local Effects and other popular techniques. Methods are enhanced with examples in R and Python using the DALEX library to explore any predictive model.

See also the short 52 pages long summary of this book.