Simon Jackson

@drsimonj

Lead Data Scientist at , empowering people to make good decisions. Love to talk stats, psych, decision making, machine learning, R

Gått med mars 2015

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  1. Fastnålad Tweet
    21 aug.

    "Exploring correlations in R with corrr" A blog-post version of my amst-R-dam meetup talk. BONUS: Features DB backend addition by

    Ångra
  2. Retweetade
    8 dec.

    🎁 Day 8 👨‍⚕️ Simon Jackson () 💪 {corrr} for tidy correlations 🔧 {twidlr} for tidy model pipelines 📝 Great blog posts

    Exploring correlations in R with corrr
    Ångra
  3. Retweetade
    28 nov.

    At long last, the parsnip package is on CRAN. parsnip is a unified R interface to models. The first of two blog posts about the package is at

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  4. Retweetade
    27 nov.

    🎞 these are so cool! "causalgraphs: R code to generate animated displays of basic causal inference methods" 👨‍💻

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  5. Retweetade
    15 nov.
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  6. Retweetade
    14 nov.

    🤩 TIL about reticulate::py_install(), meaning I can forget about all these various ways to install 🐍 stuff.

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  7. Retweetade
    11 nov.

    “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” – Martin Fowler

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  8. Retweetade
    9 nov.

    Hey , want to brush up on your tidyeval? Try this interactive tutorial covering symbols, quosures, !!, !!!, and more: (feedback welcome)

    Visa denna tråd
    Ångra
  9. Retweetade
    8 nov.

    Great advice from : if you want to get started with , use a dataset you’re interested in, not mtcare. One possibility - download your social media or gmail data!

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  10. Retweetade
    5 nov.

    I'm starting monthly bite-size data posts on meta! 📊 Check out this first one about how users' actions are correlated.

    Visa denna tråd
    Ångra
  11. Retweetade
    4 nov.

    😻 Just saw 's work for the first time, and I'm so in love! 🖍 "Sketchplanations - A weekly explanation in a sketch"

    Mercator Projection
    Ångra
  12. Retweetade
    30 okt.

    Find a typo somewhere in a bookdown book (e.g. ) or in a package readme/docs on github? You can propose the fix yourself! Follow this step-by-step tutorial w/ lots of screenshots . H/t & thank you to .

    Ångra
  13. Retweetade
    17 okt.

    hey! I just gave a talk at on what I've discovered about while hosting , the podcast. Slides are here:

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  14. Retweetade
    17 okt.

    Great talk from yesterday on the benefits of coding your data analysis for reproducibility. Bonus: I’ve never related to a speaker more. “All code is collaborative even if it’s just between you and future you”

    Ångra
  15. Retweetade
    17 okt.

    Just like reserving money for unforeseen costs when budgeting, you should set aside time for unforeseen delays when planning for a data science task. Reduces stress when something keeps failing without knowing why or you just don't see the answer right away.

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  16. Retweetade
    12 okt.

    Materials from my with are now available in this repo: , Includes code, deck and links to the published work.

    Ångra
  17. 10 okt.

    "All the right math and data to solve the wrong problem" - sharing that type III errors are at the heart of Decision Intelligence

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  18. 10 okt.

    "Irrationality is an expensive bug" - I love this setup of human decision biases and how / can improve decision making by at

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  19. Retweetade
    8 okt.

    Just tinkering… 📊 "Pretty scatter plots w/ ggplot2" 📽 "Decouple Code and Output in xaringan"

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  20. Retweetade
    5 okt.

    Running the tests again without saving your changes

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    Ångra
  21. 7 okt.

    ICYMI. How and when: ridge regression with glmnet Or, "When does Ridge🥊 OLS?" 🔗

    Ångra

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