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The Book of Why: The New Science of Cause and Effect by [Judea Pearl, Dana Mackenzie]
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The Book of Why: The New Science of Cause and Effect Kindle Edition

4.4 out of 5 stars 266 ratings

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Review

Have you ever wondered about the puzzles of correlation and causation? This wonderful book has illuminating answers and it is fun to read (Daniel Kahneman, winner of the Nobel Prize author of Thinking, Fast and Slow)

If causation is not correlation, then what is it? Thanks to Judea Pearl's epoch-making research, we now have a precise answer to this question. If you want to understand how the world works, this engrossing and delightful book is the place to start (Pedro Domingos, professor of computer science, University of Washington author of The Master Algorithm)

Judea Pearl has been the heart and soul of a revolution in artificial intelligence and in computer science more broadly (Eric Horvitz, Technical Fellow and Director, Microsoft Research Labs)

Pearl's accomplishments over the last 30 years have provided the theoretical basis for progress in artificial intelligence ... and they have redefined the term 'thinking machine' (Vint Cerf, Chief Internet Evangelist, Google, Inc.)

Modern applications of AI, such as robotics, self-driving cars, speech recognition, and machine translation deal with uncertainty. Pearl has been instrumental in supplying the rationale and much valuable technology that allow these applications to flourish (Alfred Spector, Vice President of Research, Google, Inc.)

Book Description

A pioneer of artificial intelligence shows how the study of causality revolutionized science and the world.

Product details

  • Format: Kindle Edition
  • File Size: 23099 KB
  • Print Length: 400 pages
  • Page Numbers Source ISBN: 0141982411
  • Publisher: Penguin (15 May 2018)
  • Sold by: Penguin UK
  • Language: English
  • ASIN: B077YGFJ8N
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Enhanced Typesetting: Not Enabled
  • Customer Reviews:
  • Amazon Bestsellers Rank: #109,072 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Customer reviews

4.4 out of 5 stars
4.4 out of 5
266 customer ratings
5 star 69% (69%) 69%
4 star 18% (18%) 18%
3 star 6% (6%) 6%
2 star 3% (3%) 3%
1 star 4% (4%) 4%
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Top international reviews

Susan Stepney
5.0 out of 5 stars a crucially important read
Reviewed in the United Kingdom on 1 January 2020
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4 people found this helpful
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Bjarne B Thomsen
5.0 out of 5 stars Google's AI is data driven and does not allow causality. It is not real intelligence.
Reviewed in the United Kingdom on 12 January 2019
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8 people found this helpful
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Ros Coles
3.0 out of 5 stars quite hard going but think also quite important!
Reviewed in the United Kingdom on 4 October 2018
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7 people found this helpful
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Alok Kejriwal
5.0 out of 5 stars A must read book even thought is nerdy!
Reviewed in India on 2 December 2018
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24 people found this helpful
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ColaBear
5.0 out of 5 stars Dieses Buch ist gefährlich!
Reviewed in Germany on 6 June 2018
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28 people found this helpful
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Pistol Pete
5.0 out of 5 stars Eine erhellende Einführung in die Kausalanalyse
Reviewed in Germany on 12 September 2018
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19 people found this helpful
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Amazon Customer
4.0 out of 5 stars Might need another read
Reviewed in the United Kingdom on 18 March 2019
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3 people found this helpful
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Tomas Folke
5.0 out of 5 stars Accessible introduction to causal inference
Reviewed in the United Kingdom on 8 February 2019
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Thomas Massengale
3.0 out of 5 stars A bit disappointing
Reviewed in the United Kingdom on 23 July 2019
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One person found this helpful
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Mr. P. Jessup
2.0 out of 5 stars Why did i read it?
Reviewed in Germany on 22 May 2019
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11 people found this helpful
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M. R. Rocca
3.0 out of 5 stars A great insight but hard work in parts
Reviewed in the United Kingdom on 10 November 2019
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jonsedar
1.0 out of 5 stars Unnecessary complication upon conditional probability theory
Reviewed in the United Kingdom on 1 January 2020
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Amazon Customer
5.0 out of 5 stars Hardcover and great book
Reviewed in the United Kingdom on 7 April 2019
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Jack Steadman
5.0 out of 5 stars Mind-bending foray into the computational possibilities of the future
Reviewed in the United Kingdom on 9 January 2020
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Lorri Driver
4.0 out of 5 stars Interesting Book
Reviewed in the United Kingdom on 6 December 2019
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