Nimit Pattanasri

@nimitpattanasri

Remote data scientist at Upwork.

Bangkok, Thailand
mlxai.github.io
Vrijeme pridruživanja: studeni 2007.
11 fotografija ili videozapisa Fotografije i videozapisi

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  1. proslijedio/la je Tweet
    1. velj

    how to mess with your coworkers

    110 replies 1.024 proslijeđena tweeta 4.501 korisnik označava da mu se sviđa
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  2. proslijedio/la je Tweet
    prije 20 sati

    This is great advice. Writing well has done just as much for me as knowing how to code. I'd add that if you're intimidated by writing, start a blog and write often about something you're interested in. You'll get better. At least that's what I've done for the past 10 years. :)

    People who need to write: founders, VCs, lawyers, software engineers, designers, painters, data scientists, musicians, filmmakers, creative directors, physical trainers, teachers, writers. Learn to write.
    20 proslijeđenih tweetova 133 korisnika označavaju da im se sviđa
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  3. proslijedio/la je Tweet
    1. velj

    99 smartphones are transported in a handcart to generate virtual traffic jam in Google Maps. Through this activity, it is possible to turn a green street red which has an impact in the physical world by navigating cars on another route!

    15.273 proslijeđena tweeta 34.246 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    26. sij

    In the tradition of xxxToVec - here is Time2Vec - pretty interesting - represent time as a learned embedding - might try this with some eeg data.

    If you are building ML models that consume time as a feature, check out our latest work where we show how learning a vector representation for time may improve model performance:
    58 proslijeđenih tweetova 202 korisnika označavaju da im se sviđa
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  5. proslijedio/la je Tweet
    30. sij
    Odgovor korisniku/ci

    Is this a graph layout question only or about dtrees? I still prefer dtreeviz for dtree part :) (though it could use better layout). didn't have time to run on bulldozer, but here is sample for others.

    1 reply 1 proslijeđeni tweet 6 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    8. velj 2019.

    Splitting on categorical predictors in random forests

    7 proslijeđenih tweetova 21 korisnik označava da mu se sviđa
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  7. proslijedio/la je Tweet
    31. sij

    Why Random Forests can’t predict trends and how to overcome this problem. by

    12 replies 250 proslijeđenih tweetova 1.026 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    29. sij

    This is a new exciting library. is an interface layer library that lets you compose and combine models from and in a breeze.

    15 proslijeđenih tweetova 21 korisnik označava da mu se sviđa
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  9. proslijedio/la je Tweet
    2. velj

    One of the nice things about Andrew Gelman's blog is how benign posts routinely produce deep debates about foundations of statistics. This time, the concept of "calibration" (see comments): My attitude (new box in 2nd ed of my book):

    9 replies 46 proslijeđenih tweetova 274 korisnika označavaju da im se sviđa
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  10. proslijedio/la je Tweet
    2. velj

    The cool kids may be moving to TabNet and NODE, mind you, although I don't have real-world experience of these yet.

    25 proslijeđenih tweetova 132 korisnika označavaju da im se sviđa
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  11. 2. velj

    “CatBoost vs. Light GBM vs. XGBoost” by

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  12. proslijedio/la je Tweet
    2. velj

    Our forthcoming book dives deep into different tabular modeling approaches, with many experiments. But I'll save you from reading the whole thing, and just show you the conclusion.

    127 proslijeđenih tweetova 676 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    1. velj

    Our book, Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing, made it to the two top spots (Paperback, Kindle) of Amazon's list of new releases in Data Mining: . All our proceeds from the book will be donated to charity.

    8 proslijeđenih tweetova 45 korisnika označava da im se sviđa
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  14. proslijedio/la je Tweet
    22. sij

    Scrolling is the new smoking.

    107 replies 1.179 proslijeđenih tweetova 5.265 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    31. sij

    If you're running xgboost, lgbm, or other forest based models in production you need to check out our new forest inference library. 40x faster predictions, cheaper than cpu and way less rack space.

    40x faster predictions for even the deepest random forests with FIL’s new sparse forest support -
    69 proslijeđenih tweetova 308 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    31. sij

    CausalNex – Python library to infer causation rather than observing correlation By ( , @ntsaouthe) Github: Medium:

    24 proslijeđena tweeta 57 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    30. sij

    Our book, Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing, sharing learnings by Diane Tang from , Ya Xu from , and my own from and (I'm now at ) is available for pre-order on Amazon:

    28 proslijeđenih tweetova 158 korisnika označava da im se sviđa
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  18. 29. sij

    Are categorical variables getting lost in your random forests? By Nick Dingwall, Chris Potts

    1 korisnik označava da mu se sviđa
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  19. proslijedio/la je Tweet
    25. sij

    The late Clay Christensen (1952-2020) believed that the role of every manager is to lay a foundation for future growth. Here are 11 of his most essential articles.

    21 reply 661 proslijeđeni tweet 1.447 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    22. sij

    I've been using Jira for the last year and here it is added to my ranking of top project management tools: 1. Trello 2. Piece of paper 3. Word document shared via ftp 4. Shouting to each other over the table 5. Not tracking tasks at all 6. Jira

    306 replies 2.519 proslijeđenih tweetova 11.783 korisnika označavaju da im se sviđa
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