The Book of Why: The New Science of Cause and Effect by Judea Pearl (English) Pa

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This mantra was invoked by scientists for decades in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer and carbon dioxide and global warming. The causal revolution, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific basis.

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The Book of Why: The New Science of Cause and Effect by Judea Pearl: VG

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Discover the fascinating world of causal inference with "The Book of Why: The New Science of Cause and Effect" by Dana Mackenzie and Judea Pearl. With 432 pages of insightful content, this book is an essential resource for anyone interested in science and causal reasoning.

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The Book of Why: The New Science of Cause and Effect by Judea Pearl (English) Pa

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The Book of Why by Judea Pearl, Dana Mackenzie. This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis.

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An Introduction To Causal Inference

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Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:An Introduction To Causal InferenceISBN13:9781507894293ISBN10:1507894295Author:Pearl, Judea (Author)Description:(This is a RePrint) - Binding:Paperback, PaperbackPublisher:Createspace Independent Publishing PlatformPublication Date:2015-02-08Weight:0.46 lbsDimensions:0.2'' H x 10'' L x 7.99'' WNumber of Pages:96Language:English

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Causal Inference in Statistics: A Primer by Judea Pearl (English) Paperback Book

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Causal Inference in Statistics fills that gap. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Causal Inference in Statistics by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell.

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