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Causal Artificial Intelligence
book

Causal Artificial Intelligence

by Judith S. Hurwitz, John K. Thompson
October 2023
Beginner to intermediate
384 pages
7h 58m
English
Wiley
Content preview from Causal Artificial Intelligence

Acknowledgments

Writing a book on a topic as complex as causal AI requires a tremendous amount of research. I read dozens of technical articles and books and had discussions with many experts who helped me to understand the nuances of causality. First, I'd like to thank the team at Wiley including Chris Nelson, our extraordinary editor; Pete Gaughan, senior managing editor; and Jim Minatel, associate publisher. I'd like to thank Dan Kirsch, head of community at Geminos, who contributed to the writing of this book, and Al Nugent, managing partner at Palladian Partners, who provided invaluable guidance and reviewed the manuscript for technical accuracy. I'd also like to thank key industry leaders: Judea Pearl, pioneer of causal inference, professor of computer science at UCLA, and author of many groundbreaking books; Paul Hunermund, assistant professor of strategy and information at Copenhagen Business School; Nick Huntington-Klein, assistant professor of economics at Seattle University; Scott Cunningham, president of Four Rivers Analytics and professor of economics at Baylor University; Ibrahim Gokcen, chief data and analytics officer at Aon; Aleksander Molak, chief educator and consultant at Lespire.io; and Dr. Candance Sidner, AI consultant. I'd also like to thank the team from Geminos Software including Stuart Frost, Owen Frost, Steve Eyre, Jerry Schuman, and Dan Kirsch.

—Judith Hurwitz

If you have read my previous books, you know that the only reason I ever wrote a word ...

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Publisher Resources

ISBN: 9781394184132Purchase Link