This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of

Surrogate models expedite the search for promising designs by standing in for expensive design evaluations or simulations. They provide a global model of some m

This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate