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The Book of Why: The New Science of Cause and Effect
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Author:
Pearl, Judea
Author:
Mackenzie, Dana
Published:
Basic Books 2018
Status:
Checked Out
Description
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence
"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. 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. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
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Subjects
Subjects
Computer Technology
Science
Nonfiction
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Format:
Adobe EPUB eBook, Kindle Book, OverDrive Read
Street Date:
05/15/2018
Language:
English
ISBN:
9780465097616
ASIN:
B075CR9QBJ
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Citations
APA Citation (style guide)

Judea Pearl. (2018). The Book of Why: The New Science of Cause and Effect. Basic Books.

Chicago / Turabian - Author Date Citation (style guide)

Judea Pearl. 2018. The Book of Why: The New Science of Cause and Effect. Basic Books.

Chicago / Turabian - Humanities Citation (style guide)

Judea Pearl, The Book of Why: The New Science of Cause and Effect. Basic Books, 2018.

MLA Citation (style guide)

Judea Pearl. The Book of Why: The New Science of Cause and Effect. Basic Books, 2018.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Date Added:
Jun 12, 2018 16:43:29
Date Updated:
Oct 24, 2021 13:17:21
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Apr 23, 2024 09:12:01
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Jun 03, 2023 13:39:06
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A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence
"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. 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. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either...
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A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence
"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. 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. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
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