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May 15, 2018 · Judea Pearl is a professor of computer science at UCLA and winner of the 2011 Turing Award and the author of three classic technical books on causality. He lives in Los Angeles, California. Dana Mackenzie is an award-winning science writer and the author of The Big Splat, or How Our Moon Came to Be.
USA - Holidays - Politics - White House Hanukkah Reception. of 4. Browse Getty Images' premium collection of high-quality, authentic Judea Pearl stock photos, royalty-free images, and pictures. Judea Pearl stock photos are available in a variety of sizes and formats to fit your needs.
Mar 13, 2000 · There is a newer edition of this item: Causality: Models, Reasoning and Inference. $58.00. (156) Only 20 left in stock (more on the way). Written by one of the pre-eminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a ...
- Judea Pearl
Jun 28, 2014 · By Judea Pearl--This text refers to an alternate kindle_edition edition. From the Back Cover Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty.
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- Judea Pearl
Aug 1, 2011 · Judea and Ruth Pearl are the parents of Daniel Pearl, the Wall Street Journal reporter who was murdered by terrorists in Pakistan in 2002, and whose final words were, "My father is Jewish, my mother is Jewish, I am Jewish." The book contains statements by 146 contributors expressing what being Jewish means to them.
Jul 26, 2018 · In this excerpt from The Book of Why, Judea Pearl and Dana Mackenzie explain how the founders of modern statistics “squandered” the chance to establish the science of causal inference. S ome tens of thousands of years ago, humans began to realize that certain things cause other things and that tinkering with the former can change the latter.
Feb 10, 2019 · Judea Pearl is a distinguished computer scientist and philosopher who was among the first to mathematise causal modelling. During the last decade, he has written many “technical” books about causal inference and, in The Book of Why explores the very intuitive but slightly daunting concepts of causal modelling and its algebra.
