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shelikavoid's profile
🔥🔥🔥💻💻💻💻🔥🔥🔥
🔥🔥🔥💻💻💻💻🔥🔥🔥
 🔥 🔥 🔥 💻 💻 💻 💻 🔥 🔥 🔥
@shelikavoid

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@shelikavoid

@duffelhq | http://github.com/nlopes  | Trying to keep up with @gabpmts 🧠. | ex @gocardless, @blizzard_ent

London, UK
Joined February 2010

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    1.  🔥 🔥 🔥 💻 💻 💻 💻 🔥 🔥 🔥‏ @shelikavoid 3 Aug 2020

      Ask me anything and I'll reply as a data scientist. Wrong questions only.

      14 replies 2 retweets 5 likes
    2. Richard "RichiH" Hartmann‏ @TwitchiH 4 Aug 2020
      Replying to @shelikavoid

      How do you correctly correlate in arbitrary datasets and come to the correct causation every time? How do AI, ML, and blockchain improve this process?

      1 reply 0 retweets 2 likes
    3.  🔥 🔥 🔥 💻 💻 💻 💻 🔥 🔥 🔥‏ @shelikavoid 4 Aug 2020
      Replying to @TwitchiH

      2 questions here, I'll unbundle. 1st: using a pivot table. 2nd: I'm an eco friendly data scientist therefore I refuse to answer questions with blockchain.

      1 reply 0 retweets 0 likes
    4. Richard "RichiH" Hartmann‏ @TwitchiH 4 Aug 2020
      Replying to @shelikavoid

      AI/ML, especially without human-tagged data, is a lot more energy efficient than blockchain. So could you scope down the answer to 2) and share your wisdom?

      1 reply 0 retweets 0 likes
       🔥 🔥 🔥 💻 💻 💻 💻 🔥 🔥 🔥‏ @shelikavoid 4 Aug 2020
      Replying to @TwitchiH

      Aaah that's easy. AI / ML reduce complexity by ignoring petty differences between causation and correlation. Beyond that, a pivot table is still your best shot.

      7:28 AM - 4 Aug 2020
      0 replies 0 retweets 0 likes

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