Jeff Leek

@jtleek

Professor @ JHBSPH, co-editor Simply Statistics, co-editor Biostatistics, co-director JHU Data Science Lab. Views tweeted are my own.

Baltimore
jtleek.com
Připojil se srpen 2010
94 fotek nebo videí Fotky a videa

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  1. Připnutý tweet
    1. 10.

    We've been working to remove and reduce barriers for anyone in high school on up to get into data science. The first part of our new effort is now up! Chromebook Data Science - a MOOC series on .

    19 replies 243 retweetů 573lajků
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  2. Retweetnuto uživatelem
    před 21 hodinami

    The Netflix Data War

    10 retweetů 28lajků
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  3. Retweetnuto uživatelem
    17. 12.

    An interactive shiny presentation for my talk tomorrow on dynamic individualized predictions from joint models with intermediate events @ EMR-IBS is available here:

    6 retweetů 34lajků
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  4. Retweetnuto uživatelem
    11. 12.

    The Role of Theory in Data Analysis

    34 retweetů 90lajků
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  5. Retweetnuto uživatelem
    10. 12.

    It also had good properties in this comparison of different approaches, led by and

    1 reply 2 retweety 3lajky
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  6. Retweetnuto uživatelem
    10. 12.

    So happy to see this work with on false discovery rates conditional on covariates published in ! .

    1 reply 38 retweetů 86lajků
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  7. Retweetnuto uživatelem
    7. 12.

    Completed my first Chromebook Data Science course. That was fun!

    1 retweet 9lajků
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  8. Retweetnuto uživatelem
    30. 11.

    I decided to try the Chromebook Data Science program on to see if my daughter would like it. Is 7 too young to learn ? 🤔

    1 retweet 20lajků
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  9. 26. 11.

    Check this awesome sneak preview of the new tech from the JHU DaSL thanks to . AI generated auto video from one of our new MOOCs: ; auto-translated & AI generated Spanish translation (even the slides are translated!)

    1 reply 8 retweetů 15lajků
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  10. Retweetnuto uživatelem
    20. 11.

    Chromebook Data Science: A free, massive open online educational program offered through to help anyone who can read/write and use a computer to move into data science: Brainchild of Prof.

    Uživatelé , , a další (6)
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  11. 12. 11.

    Ack I need to get a print version of this out maybe can show me how its done....

    Just some casual Sunday morning reading with and coffee in the ol' mug 🤓 thanks for leaving this print-out behind.
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  12. Retweetnuto uživatelem
    12. 11.

    My shortest paper ever in . If you never read one of my papers, this is a really quick read 😄. Thank you to the editors , , and for modernizing and requiring reproducibility. Way to lead!

    New in : The upstrap ✍️ () & () 📄 Paper: 📊 Code:
    1 reply 25 retweetů 100lajků
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  13. Retweetnuto uživatelem
    10. 11.

    Proud to announce Biological Data Science will be held again November 4-7 2020

    19 retweetů 69lajků
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  14. Retweetnuto uživatelem
    10. 11.

    Thank you for coming and thank you for sharing all your amazing science this year!

    2 retweety 18lajků
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  15. Retweetnuto uživatelem
    8. 11.

    in years since, seen so many neat people dedicating time to , data carpentry and . I think The Modern Scientist by is a great guide that I plan to keep reading now that I'm in my first PhD year & beyond! (2)

    1 retweet 12lajků
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  16. Retweetnuto uživatelem
    8. 11.

    A different take on this Q by , who envisions a better way to integrate smaller investigator initiated hypothesis driven research data sets

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  17. Retweetnuto uživatelem
    8. 11.

    We are recruiting! UW Biostatistics is hiring at the Assistant Professor level -- please pass along this application to outstanding developers of statistical methodology. Amazing combination of excellent research, collaborators, departmental culture, city

    81 retweetů 61lajků
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  18. Retweetnuto uživatelem
    8. 11.

    Super awesome that talks are also being done in – v Cold Spring Harbor Laboratory

    8 retweetů 42lajků
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  19. Retweetnuto uživatelem
    8. 11.

    Jeff introducing with awesome keynotes by and

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  20. Retweetnuto uživatelem
    2. 11.

    Love this taxonomy of data science training. I’m a huge fan of level 6: Give students a question where you have done a little research to know that it is posisble to get at least some data, but aren’t 100% sure it is the right data or that the problem can be perfectly solved.

    The levels of data science class
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  21. Retweetnuto uživatelem
    2. 11.

    New learners often need to get some basic data science skills (+ problem solving & confidence!) first to be able to frame a good data science question 🖼 in my big magic talk, doing an original project is phase 4: PERSISTENCE 👩🏽‍🎨

    The levels of data science class
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