Simon Jackson

@drsimonj

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

Amsterdam, The Netherlands
linkedin.com/in/drsimonj
Bergabung Maret 2015
81 Foto dan video Foto dan video

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  1. Tweet Sematan
    21 Agt

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

    2 balasan 34 retweet 120 suka
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  2. me-Retweet
    8 Des

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

    Exploring correlations in R with corrr
    2 balasan 66 retweet 232 suka
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  3. me-Retweet
    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

    15 balasan 277 retweet 754 suka
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  4. me-Retweet
    27 Nov

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

    2 balasan 49 retweet 177 suka
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  5. me-Retweet
    15 Nov

    Materials from my with and talk at are now available here:

    2 balasan 29 retweet 80 suka
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  6. me-Retweet
    14 Nov

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

    1 balasan 7 retweet 38 suka
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  7. me-Retweet
    11 Nov

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

    12 balasan 665 retweet 2.019 suka
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  8. me-Retweet
    9 Nov

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

    17 balasan 175 retweet 686 suka
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  9. me-Retweet
    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!

    2 balasan 16 retweet 59 suka
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  10. me-Retweet
    5 Nov

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

    3 balasan 17 retweet 58 suka
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  11. me-Retweet
    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
    3 balasan 50 retweet 178 suka
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  12. me-Retweet
    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 .

    31 retweet 83 suka
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  13. me-Retweet
    17 Okt

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

    5 balasan 27 retweet 117 suka
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  14. me-Retweet
    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”

    4 balasan 63 retweet 334 suka
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  15. me-Retweet
    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.

    5 balasan 9 retweet 31 suka
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  16. me-Retweet
    12 Okt

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

    15 retweet 56 suka
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  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

    11 retweet 38 suka
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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

    dan
    1 balasan 7 retweet 5 suka
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  19. me-Retweet
    8 Okt

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

    2 balasan 40 retweet 131 suka
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  20. me-Retweet
    5 Okt

    Running the tests again without saving your changes

    147 balasan 8.132 retweet 15.867 suka
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  21. 7 Okt

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

    1 balasan 7 retweet 56 suka
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