Jeff Leek

@jtleek

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

Baltimore
Регистриран през август 2010 г.

Туитове

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  1. Закачен туит
    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 .

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  2. ретуитна
    преди 21 часа
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  3. ретуитна
    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:

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  4. ретуитна
    11.12
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  5. ретуитна
    10.12

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

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  6. ретуитна
    10.12

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

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  7. ретуитна
    7.12

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

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  8. ретуитна
    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 ? 🤔

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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!)

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  10. ретуитна
    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.

    , , и 6 други
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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....

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  12. ретуитна
    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!

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  13. ретуитна
    10.11

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

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  14. ретуитна
    10.11

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

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  15. ретуитна
    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)

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  16. ретуитна
    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. ретуитна
    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

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  18. ретуитна
    8.11

    Super awesome that talks are also being done in – в/ъв Cold Spring Harbor Laboratory

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  19. ретуитна
    8.11

    Jeff introducing with awesome keynotes by and

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  20. ретуитна
    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.

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  21. ретуитна
    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 👩🏽‍🎨

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