Explainable AI with Python
Publication year: 2021
ISBN: 978-3-030-68640-6
Internet Resource: Please Login to download book
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.
Subject: Computer Science, XAI, Artificial Intelligence, Machine Learning, intrinsic interpretable models, Shapley Values, Deep Taylor Decomposition
