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Judea Pearl

Judea Pearl’s Followers (265)

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Judea Pearl


Born
in Tel Aviv, Israel
September 04, 1936

Website

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Judea Pearl (Hebrew: יהודה פרל) is an Israeli-American computer scientist and philosopher, best known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks. ...more

Average rating: 3.96 · 7,431 ratings · 782 reviews · 43 distinct worksSimilar authors
The Book of Why: The New Sc...

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3.94 avg rating — 6,554 ratings — published 2018 — 23 editions
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Causality: Models, Reasonin...

4.17 avg rating — 330 ratings — published 2000 — 13 editions
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Causal Inference in Statist...

4.10 avg rating — 254 ratings — published 2016 — 4 editions
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I am Jewish: Personal Refle...

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3.96 avg rating — 175 ratings — published 2004 — 9 editions
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Probabilistic Reasoning in ...

4.29 avg rating — 75 ratings — published 1988 — 8 editions
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Heuristics: Intelligent Sea...

4.07 avg rating — 14 ratings — published 1984 — 2 editions
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An Introduction to Causal I...

3.67 avg rating — 15 ratings — published 2014 — 3 editions
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Search and Heuristics

really liked it 4.00 avg rating — 2 ratings — published 1983
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Le Livre des pourquoi: La s...

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it was amazing 5.00 avg rating — 1 rating
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Coexistence and Other Fight...

it was amazing 5.00 avg rating — 1 rating2 editions
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More books by Judea Pearl…
Quotes by Judea Pearl  (?)
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“If I could sum up the message of this book in one pithy phrase, it would be that you are smarter than your data. Data do not understand causes and effects; humans do.”
Judea Pearl, The Book of Why: The New Science of Cause and Effect

“You cannot answer a question that you cannot ask, and you cannot ask a question that you have no words for.”
Judea Pearl, The Book of Why: The New Science of Cause and Effect

“Data can tell you that the people who took a medicine recovered faster than those who did not take it, but they can’t tell you why. Maybe those who took the medicine did so because they could afford it and would have recovered just as fast without it.”
Judea Pearl, The Book of Why: The New Science of Cause and Effect



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