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The Book of Why: The New Science of Cause and Effect
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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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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
Last Metadata Check:
Jul 21, 2024 08:10:11
Last Metadata Change:
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Last Availability Check:
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Last Availability Change:
Jun 24, 2024 22:26:53
Last Grouped Work Modification Time:
Jul 21, 2024 03:30:02

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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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