Jeff Leek

@jtleek

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

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jtleek.com
2010年8月加入
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  1. 釘選的推文
    10月1日

    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. 已轉推
    21 小時前

    The Netflix Data War

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  3. 已轉推
    12月17日

    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. 已轉推
    12月11日

    The Role of Theory in Data Analysis

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  5. 已轉推
    12月10日

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

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  6. 已轉推
    12月10日

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

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  7. 已轉推
    12月7日

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

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  8. 已轉推
    11月30日

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

    3 replies 1 則轉推 20 個喜歡
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  9. 11月26日

    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 replies 8 則轉推 15 個喜歡
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  10. 已轉推
    11月20日

    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.

    、、 和其他 6 人
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  11. 11月12日

    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.
    1 replies 5 個喜歡
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  12. 已轉推
    11月12日

    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:
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  13. 已轉推
    11月10日

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

    4 replies 19 則轉推 69 個喜歡
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  14. 已轉推
    11月10日

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

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  15. 已轉推
    11月8日

    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. 已轉推
    11月8日

    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. 已轉推
    11月8日

    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. 已轉推
    11月8日

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

    2 replies 8 則轉推 42 個喜歡
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  19. 已轉推
    11月8日

    Jeff introducing with awesome keynotes by and

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  20. 已轉推
    11月2日

    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. 已轉推
    11月2日

    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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