Understanding and trusting models and their results is a hallmark of good science. Get the ebook from O'Reilly to get an applied perspective on how this applies to machine learning, including fairness, accountability, transparency, and explainable AI.
An introduction of interpretable machine learning techniques, algorithms, and models
A discussion of predictive modeling and machine learning from an applied perspective
A presentation of a set of open source code examples for interpretability techniques