anton

@zemlyansky

Full-stack developer. Working on and 🎲Bayesian statistics, modeling, data analysis.

Kiev
Vrijeme pridruživanja: rujan 2010.

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  1. proslijedio/la je Tweet
    24. sij

    I have thought about these two paragraphs so many times over the years. Huge thanks to for finding the source.

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  2. proslijedio/la je Tweet
    24. kol 2014.

    a high-dimensional space is a lonely place

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  3. 10. sij

    No surprise. Competitions attract cheaters. Especially when money involved

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  4. proslijedio/la je Tweet
    6. sij

    My top 10 black swan predictions for 2020 1. You 2. Can't 3. Predict 4. Black 5. Swans 6. In 7. Advance 8. They 9. Are 10. Unpredictable

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  5. proslijedio/la je Tweet
    17. pro 2019.

    Proppy dataset for propaganda detection: 52k labelled articles from 100+ news outlets Paper:

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  6. proslijedio/la je Tweet
    14. pro 2019.
    Odgovor korisniku/ci
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  7. proslijedio/la je Tweet
    13. pro 2019.

    Felt it was time to give my Cohen's d app some love. Beta of new version is now out! Some major improvements: 🌟 Change M, SD, and labels 🌟 Save settings in localStorage 🌟 Offline access using service worker 🌟 Source code now MIT 🌟 Viz design is CC0

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  8. proslijedio/la je Tweet
    10. pro 2019.

    Bayesian longitudinal models using additive GPs including uncertainty in disease effect times and heterogeneous effects by , Henrik Mannerström, I and . lgpr package built on top of at Preprint at

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  9. proslijedio/la je Tweet
    9. pro 2019.
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  10. proslijedio/la je Tweet
    10. stu 2019.

    Hours of daylight as a function of day of the year and latitude. I would love to see a version of this where the globe is spinning!

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  11. proslijedio/la je Tweet

    I've made this cheat sheet and I think it's important. Most stats 101 tests are simple linear models - including "non-parametric" tests. It's so simple we should only teach regression. Avoid confusing students with a zoo of named tests. 1/n

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  12. proslijedio/la je Tweet

    ICYMI: “What I feel is happening now is we’re in another one of those inflection points in the development of natural sciences. Programming is really becoming as important as the ability to do math to get science done.”

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  13. proslijedio/la je Tweet
    29. lis 2019.

    Super excited to share some new work: It's our latest take on mapping enormous unstructured document collections. In this case, turning 100,000 journal articles into a navigable topographic map:

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  14. 27. lis 2019.

    If you know Python and need more stable profiling tool, I'd recommend Pandas Profiling:

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  15. 27. lis 2019.

    Just released open-source web app for data profiling: It's 100% browser-side, lightweight (no frameworks), processes data sequentially without storing it in RAM, supports CSV and TSV formats. Still experimental (v0.0.5), so probably buggy. 🐦

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  16. proslijedio/la je Tweet
    22. lis 2019.

    Causal Inference Book | Miguel Hernan | Harvard T.H. Chan School of Public Health "The first complete draft of the Causal Inference book is now available. Enjoy it and send us your comments as always."

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  17. proslijedio/la je Tweet
    22. lis 2019.

    All Models Are Wrong What Does It Mean?

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  18. 20. lis 2019.

    Hatetris is tetris which always gives you the worst possible pieces

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  19. 19. lis 2019.

    The Prior Can Often Only Be Understood in the Context of the Likelihood. By A.Gelman, D. Simpson and M. Betancourt. Great article on choosing priors in Bayesian models:

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  20. proslijedio/la je Tweet
    18. lis 2019.

    'All models are wrong but some are deadly.' --

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