Pedro Domingos

@pmddomingos

Professor of computer science at UW and author of 'The Master Algorithm'. Into , , , and anything that makes me curious.

Seattle, WA
pedrodomingos.org
Joined July 2015
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  1. Pinned Tweet
    Jun 25

    Everything you always wanted to know about machine learning:

    5 replies 22 retweets 97 likes
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  2. Sep 22

    Three things the US can learn from China about implementing AI, by (ignore the subtitle - that's not what the essay is about):

    2 replies 28 retweets 70 likes
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  3. Sep 17

    Should “data” be a singular noun? Yes, like “sand”.

    12 replies 19 retweets 107 likes
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  4. Retweeted
    Sep 6

    Big news , Your book, The Master Algorithm, made it to BookAuthority's list of best Algorithms books of all time!

    4 replies 12 retweets 38 likes
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  5. Aug 20

    The narrative has changed. It has switched from "Isn’t it terrible that AI is a failure?" to "Isn’t it terrible that AI is a success?" (Peter Norvig)

    6 replies 59 retweets 194 likes
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  6. Aug 19

    Why machine learning is eating the world:

    8 replies 188 retweets 332 likes
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  7. Aug 15

    Where will our machines take us? My Scientific American article on the future of AI:

    7 replies 127 retweets 268 likes
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  8. Aug 10

    Different governments' attitudes to tech companies: China: Use them America: Ignore them Europe: Slap fines on them

    6 replies 31 retweets 143 likes
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  9. Aug 4

    A tale of two AI summers: 1980s Now Expert systems Deep learning More rules! More data! LISP machines GPUs Cyc DeepMind Brittleness Brittleness

    21 replies 405 retweets 1,211 likes
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  10. Aug 1

    Move over, GPUs - we can now do deep learning at the speed of light:

    3 replies 88 retweets 189 likes
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  11. Jul 30

    Algorithms are much less biased than humans, but you'd never know from the current brouhaha about them:

    31 replies 267 retweets 572 likes
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  12. Jul 4

    Instead of unreadable privacy policies, every website should be clearly labeled with one of 5 privacy levels, changeable with a click: 5. Nothing recorded 4. Data used for internal purposes only 3. Click to customize privacy 2. OK to share with third parties 1. OK to make public

    10 replies 198 retweets 515 likes
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  13. Jul 3

    If machines took over, it would be like “War of the Worlds” with computer bugs instead of live ones.

    3 replies 6 retweets 29 likes
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  14. Jun 28

    Crypto-currencies are everything you don’t understand about money combined with everything you don’t understand about computers. (John Oliver)

    27 replies 1,129 retweets 3,183 likes
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  15. Jun 26

    Interesting new machine learning problem:

    4 replies 25 retweets 65 likes
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  16. Retweeted
    Jun 23

    "Factfulness" by Hans Rosling et al, has changed my understanding of the world. It uses data to show me where and how I was wrong, and identifies 10 ways us humans consistently and wrongly misunderstand so many things. Please read it.

    4 replies 76 retweets 259 likes
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  17. Jun 23

    Next up: combatting nanoaggression.

    2 replies 6 retweets 21 likes
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  18. Retweeted
    Jun 22

    Who made this? 👏🏻...👏🏻...👏🏻

    170 replies 10,748 retweets 24,221 likes
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  19. Jun 21

    Interesting. When you use an ML-style method to estimate the effect on climate of CO2 emissions, it comes out fairly small:

    4 replies 3 retweets 20 likes
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  20. Jun 21

    AI - the story so far: 1. Manually encoding all the knowledge you need for AI is hopeless. 2. Purely empirical learning methods keep exceeding expectations, but have limitations. 3. Solution: A little knowledge + A lot of data. How to do this:

    10 replies 126 retweets 444 likes
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