Hands-On Explainable AI (XAI) with Python
Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
Denis Rothman
BIRMINGHAM - MUMBAI
Hands-On Explainable AI (XAI) with Python
Copyright © 2020 Packt Publishing
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First published: July 2020
Production reference: 1290720
Published by Packt Publishing Ltd.
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ISBN 978-1-80020-813-1
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Contributors
About the author
Denis Rothman graduated from Sorbonne University and Paris-Diderot University, writing one of the very first word2vector embedding solutions. He began his career authoring one of the first AI cognitive natural language processing (NLP) chatbots applied as a language teacher for Moët et Chandon and other companies. He has also authored an AI resource optimizer for IBM and apparel producers. He then authored an advanced planning and scheduling (APS) solution that is used worldwide.
"I want to thank those corporations who trusted me from the start to deliver artificial intelligence solutions and share the risks of continuous innovation. I would also like to thank my family, who believed I would make it big at all times."
About the reviewer
Carlos Toxtli is a human-computer interaction researcher who studies the impact of artificial intelligence in the future of work. He completed a Ph.D. in Computer Science at the University of West Virginia and a master's degree in Technological Innovation and Entrepreneurship at the Monterrey Institute of Technology and Higher Education. He has worked for numerous international organizations, including Google, Microsoft, Amazon, and the United Nations. He has also created companies that use artificial intelligence in the financial, educational, customer service, and parking industries. Carlos has published numerous research papers, manuscripts, and book chapters for different conferences and journals in his field.
"I want to thank all the editors who helped make this book a masterpiece."