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fchollet's profile
François Chollet
François Chollet
François Chollet
Verified account
@fchollet

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François CholletVerified account

@fchollet

Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.

United States
fchollet.com
Joined August 2009

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    François Chollet‏Verified account @fchollet 15 Oct 2018

    The problem with data-driven decisions: you don't see what happens to the data in the long term. What looks good for your metrics right now might kill your product in a few years. It's like AI: data gives you local generalization, but for the long term, you need principles.

    8:44 AM - 15 Oct 2018
    • 202 Retweets
    • 702 Likes
    • Zaher Qontent Media Rod Murray-Smith Ric Rahul Dubey Henriette Steenhoff The Development Coach Joseph Jude Gwrry
    16 replies 202 retweets 702 likes
      1. Adam Singer‏Verified account @AdamSinger 15 Oct 2018
        Replying to @fchollet

        You need analysts with deep understanding of the business, customers, roadmaps etc. They can't just sit in a silo.

        0 replies 0 retweets 6 likes
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      1. Richard Podkolinski‏ @mrdevlar 15 Oct 2018
        Replying to @fchollet

        That's why data requires context. Data-driven, does not mean data-exclusive. One of the great joys of being a working statistician is you get to interact with all sorts of subject matter experts that can flush out what the data is saying.

        0 replies 0 retweets 0 likes
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      1. Giri Damerla‏ @giridamerla 15 Oct 2018
        Replying to @fchollet

        Yes! For long term decisions, you need principles aka vision.

        0 replies 0 retweets 0 likes
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      1. Benjamin Rouif‏ @Brouif 15 Oct 2018
        Replying to @fchollet

        I think it should be part of the culture. Being data driven does not mean that you fully rely on the data but use the data to challenge your ideas and you explain why you re going against the numbers ... A balance that is hard to find.

        0 replies 1 retweet 7 likes
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      1. AlgoritHuman‏ @AlgoritHuman 15 Oct 2018
        Replying to @fchollet

        For example, it could need 1 AI dedicated to brainstorming the data itself...while 1other AI compute data as usual, or #AlgoritHuman could manage these principles...by better coding as possible...!?🙄😉

        0 replies 0 retweets 0 likes
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      2. Mabaso‏ @PrimeRebirth 15 Oct 2018
        Replying to @fchollet

        This tweet is spot on. In fact, many business get sold the soft lie of using data analytics to solve all their business problems. Issue with that is, analytics metrics cannot replace business strategy. Analytics is just one of the inputs you need to choose the right path.

        1 reply 0 retweets 0 likes
      3. Mabaso‏ @PrimeRebirth 15 Oct 2018
        Replying to @PrimeRebirth @fchollet

        Or put differently, another input to help you decide what not to do, since that is the essence of strategy!

        0 replies 0 retweets 0 likes
      4. End of conversation
      1. Harshitha Machiraju‏ @nonlinear_human 15 Oct 2018
        Replying to @fchollet

        Problem comes you can never anticipate the new surge that comes in data...

        0 replies 0 retweets 0 likes
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      1. trylks‏ @trylks 15 Oct 2018
        Replying to @fchollet

        trylks Retweeted Programming Wisdom

        This world be a good blogpost, elaborating on the McNamara fallacy & TD learning IMHO: data should be used to build & improve a model. The model used for decision making, & check its impact & dependencies on context for potential paradigm shifts Related:https://twitter.com/CodeWisdom/status/1046015990679719936?s=19 …

        trylks added,

        Programming Wisdom @CodeWisdom
        “If you can get today’s work done today, but you do it in such a way that you can’t possibly get tomorrow’s work done tomorrow, then you lose.” - Martin Fowler, Refactoring: Improving the Design of Existing Code
        0 replies 0 retweets 1 like
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