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  • Book of Why

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Book of Why

4.4 out of 5 stars (2,467)

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An argument for how understanding causality has revolutionized science and will revolutionize artificial intelligence.

"Illuminating." ―New York Times

"Extraordinary." ―Science Friday

“Correlation is not causation.” This mantra, chanted by scientists for more than a century, once led to a virtual prohibition on causal talk. Today, with causal analysis taking center stage in AI and other applications, the old taboos are a thing of the past.

The causal revolution, instigated by Judea Pearl and others, established causality on a firm scientific basis. Pearl showed how intuitive models can interface with data to help answer causal questions, such as whether a drug will cure an illness or, counterfactually, whether an illness would have persisted absent the drug. These models provide a blueprint for causal AI to learn and take responsibility for its mistakes.

Updated with a new preface and summary of recent advances, The Book of Why outlines the basics of cause and effect for lay readers and scientists alike, providing tools to explore the observable world and worlds that might have been.

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From the Publisher

"Just extraordinary." — Science Friday (NPR) and "Illuminating." —New York Times

"Seriously, eveyone should read The Book of Why." —Jeff Witmer

If you want to understand how the world works, this engrossing and delightful book is the place…

"An elegant, powerful, controversial thoery of causality." —American Mathematical Society

Editorial Reviews

Review

One of Science Friday's "Best Science Books of 2018"

"Illuminating... The Professor Pearl who emerges from the pages of
The Book of Why brims with the joy of discovery and pride in his students and colleagues... [it] not only delivers a valuable lesson on the history of ideas but provides the conceptual tools needed to judge just what big data can and cannot deliver."―New York Times

"Cause and effect is one of the most heavily debated, difficult-to-prove things in science and medicine. This book really gets you thinking about cause and effect as it applies to issues of our time, such as: How come cigarettes were around for years and we never showed they were causing cancer or heart disease? The authors goes through these cases like an interrogation, and it's just extraordinary."―
Science Friday

"Seriously, everyone should read
The Book of Why."―Jeff Witmer, American Mathematical Monthly

"'Correlation is not causation.' That scientific refrain has had social consequences...Judea Pearl proposes a radical mathematical solution...now bearing fruit in biology, medicine, social science and AI."―
Nature

"Lively and accessible...Pearl was one of the visionary leaders of the causal revolution, and
The Book of Why is his crowning achievement."―Jewish Journal

"Anyone interested in probing connections between cause and effect, and their relevance for the future of AI, will find this a fascinating and provocative book. Highly recommended."―
CHOICE

"Judea Pearl is on a mission to change the way we interpret data. An eminent professor of computer science, Pearl has documented his research and opinions in scholarly books and papers. ... With the release of this historically grounded and thought-provoking book, Pearl leaps from the ivory tower into the real world...Pearl has given us an elegant, powerful, controversial theory of causality."―
American Mathematical Society

"The Book of Why ... questions and redefines the building blocks of our AI systems"―theverge.com

"Have you ever wondered about the puzzles of correlation and causation? This wonderful book has illuminating answers and it is fun to read."―
Daniel Kahneman, winner of the Nobel Memorial Prize in Economic Sciences and author of Thinking, Fast and Slow

"Pearl's accomplishments over the last 30 years have provided the theoretical basis for progress in artificial intelligence... and they have redefined the term 'thinking machine.'"―
Vint Cerf, Chief Internet Evangelist, Google, Inc.

"Judea Pearl has been the heart and soul of a revolution in artificial intelligence and in computer science more broadly."―
Eric Horvitz, Technical Fellow and Director, Microsoft Research Labs

"If causation is not correlation, then what is it? Thanks to Judea Pearl's epoch-making research, we now have a precise answer to this question. If you want to understand how the world works, this engrossing and delightful book is the place to start."―
Pedro Domingos, professor of computer science, University of Washington, and author of The Master Algorithm

About the Author

Judea Pearl is a professor of computer science at UCLA. The author of three books, he has won numerous awards, including the Alan Turing Award. He lives in Los Angeles, California.

Dana Mackenzie is a PhD mathematician turned science writer and has written for Science, New Scientist, and Scientific American, among others. He lives in Santa Cruz, California.

Product details

  • Publisher ‏ : ‎ Basic Books
  • Publication date ‏ : ‎ August 25, 2020
  • Edition ‏ : ‎ Reprint
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 432 pages
  • ISBN-10 ‏ : ‎ 1541698967
  • ISBN-13 ‏ : ‎ 978-1541698963
  • Item Weight ‏ : ‎ 14 ounces
  • Dimensions ‏ : ‎ 5.5 x 1.08 x 8.25 inches
  • Best Sellers Rank: #33,492 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.4 out of 5 stars (2,467)

About the authors

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