Explainable AI with Python

This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches presented can be applied to almost all the current “machine learning” models: linear and logistic regression, deep learning neural networks, natural language processing and image recognition, among the others.

Progress in Machine Learning is increasing the use of artificial agents to perform critical tasks previously handled by humans (he...