[PDF.73ex] Causality: Models, Reasoning, and Inference

Causality: Models, Reasoning, and Inference

[PDF.ec99] Causality: Models, Reasoning, and Inference

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 | #954065 in Books |  Cambridge University Press |  2000-03-13 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.96 x1.10 x6.97l, | File type: PDF | 400 pages

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||0 of 0 people found the following review helpful.| It's a Reference Book|By SmithLA|I needed this for my research and found the price and quality. Unfortunately, the content was tedious reading and failed to illuminate the subject as well as other tomes I've read.|18 of 28 people found the following review helpful.| A technical approach towards causality|By Zac|This is a very i| |"...thought provoking and [a] valuable addition to the scientific community. The author, Judea Pearl, is not only an expert but also well known for creating novel ideas in cognitive system analysis and artificial intelligence...It is a well-composed an writte

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 mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural ap...

You easily download any file type for your gadget.Causality: Models, Reasoning, and Inference   |  Judea Pearl. Just read it with an open mind because none of us really know.

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