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Pop-Data Science
Books that straddle the line between populist and scientific descriptions of Algorithms, Data Science, AI and their applications.
Score
A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
| 1 |
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Mindf*ck: Inside Cambridge Analytica’s Plot to Break the World
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4.36 avg rating — 7,672 ratings
score: 100,
and
1 person voted
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| 2 |
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The Master Algorithm
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3.74 avg rating — 6,397 ratings
score: 99,
and
1 person voted
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| 3 |
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How Smart Machines Think
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3.99 avg rating — 349 ratings
score: 98,
and
1 person voted
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| 4 |
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AI Superpowers
by
Kai-Fu Lee (Goodreads Author)
4.09 avg rating — 16,380 ratings
score: 97,
and
1 person voted
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| 5 |
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Algorithms To Live By
by
Brian Christian (Goodreads Author)
4.13 avg rating — 34,325 ratings
score: 96,
and
1 person voted
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| 6 |
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Freakonomics: A Rogue Economist Explores the Hidden Side of Everything
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4.01 avg rating — 888,886 ratings
score: 95,
and
1 person voted
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| 7 |
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Thinking, Fast and Slow
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4.17 avg rating — 570,686 ratings
score: 94,
and
1 person voted
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| 8 |
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Moneyball
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4.27 avg rating — 142,263 ratings
score: 93,
and
1 person voted
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| 9 |
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Hello World: Being Human in the Age of Algorithms
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4.11 avg rating — 11,565 ratings
score: 92,
and
1 person voted
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People Who Voted On This List (1)
Abhishek
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