Kareem Carr  

@kareem_carr

Stats PhD student at . The Phd life is an amazing opportunity to define yourself, become something useful, and have somebody else pay for it!

ಜೂನ್ 2013 ಸಮಯದಲ್ಲಿ ಸೇರಿದ್ದಾರೆ

ಟ್ವೀಟ್‌ಗಳು

ನೀವು @kareem_carr ಅವರನ್ನು ತಡೆಹಿಡಿದಿರುವಿರಿ

ಈ ಟ್ವೀಟ್‌ಗಳನ್ನು ವೀಕ್ಷಿಸಲು ನೀವು ಖಚಿತವಾಗಿ ಬಯಸುವಿರಾ? ಟ್ವೀಟ್ ವೀಕ್ಷಣೆಯು @kareem_carr ಅವರ ತಡೆತೆರವುಗೊಳಿಸುವುದಿಲ್ಲ

  1. ಪಿನ್ ಮಾಡಿದ ಟ್ವೀಟ್
    ಡಿಸೆಂ 18

    When a statisticians hear, "Successful people start their day at 4 a.m.", they think: 1. Waking early makes you successful? 2. Something about success makes it hard to sleep at night? 3. Success is lethal; Only early risers survive? 4. You did your survey at 4am.

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  2. 4 ನಿಮಿಷಗಳ ಹಿಂದೆ

    I started December with 182 followers. Last night, I crossed 1000! I owe most of this incredible growth to one fact ... I told a joke and ten thousand people laughed! Thanks for blowing my mind Twitter people & for yelling at me when I'm wrong.

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  3. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    53 ನಿಮಿಷಗಳ ಹಿಂದೆ

    Favorite statistics in academia - student: GPA - clinical researcher: P - converted clinical researcher: BF - epidemiologist: OR - grant applicant: H - meta-analyst: I2 - journal: N - PI: IF - statistician: have you seen my method yet?

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  4. 2 ಗಂಟೆಗಳ ಹಿಂದೆ

    Statisticians more leeway to be useless. We can point to a 100+ year track record of providing value and say hey, the thing you want to do can't be done/isn't ethical/would make Fisher cry. Data science lives in business environments. It needs to show return on investment!

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  5. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ಡಿಸೆಂ 18

    When a statisticians hear, "Successful people start their day at 4 a.m.", they think: 1. Waking early makes you successful? 2. Something about success makes it hard to sleep at night? 3. Success is lethal; Only early risers survive? 4. You did your survey at 4am.

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  6. 3 ಗಂಟೆಗಳ ಹಿಂದೆ

    That time Batman tried to use R. (He’s more of a Python guy.) h/t:

    ರದ್ದುಗೊಳಿಸು
  7. 4 ಗಂಟೆಗಳ ಹಿಂದೆ

    Is it me or do many academics think we are super people? We study the very real biological, psychological, sociological limits of humans, how the best systems have errors; then we don't sleep, bash others & ourselves over mistakes, etc. We should apply science to ourselves!

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  8. 5 ಗಂಟೆಗಳ ಹಿಂದೆ

    To people thinking, "This guy hates data science". Proud to say: This semester, I helped train 60 new data scientists in Intro to Data Sci ! Materials free online: It teaches you tidyverse R. My main lesson: clients want something *actionable*!

    ರದ್ದುಗೊಳಿಸು
  9. 5 ಗಂಟೆಗಳ ಹಿಂದೆ

    Today I got up at 6AM, like an unsuccessful loser. 😔

    ರದ್ದುಗೊಳಿಸು
  10. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    6 ಗಂಟೆಗಳ ಹಿಂದೆ

    My kids want to do a lecture entitled “Memes, medians and modes”.

    ರದ್ದುಗೊಳಿಸು
  11. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    18 ಗಂಟೆಗಳ ಹಿಂದೆ

    I don't think I could ever install this because it would drive me crazy but I would totally drive-by install it on a coworker's machine while they were getting coffee: turn a Hyper terminal into nyan cat while typing. With audio.

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  12. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ಡಿಸೆಂ 19

    Due to my grad school experience, when I die I want my body donated to Science. And by Science, of course, I mean the journal Science. I want my dead body delivered to their offices.

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  13. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    24 ಗಂಟೆಗಳ ಹಿಂದೆ

    Errors in data analysis code are a major problem for scientists and for science. Two practices that can help you avoid them (or track them down more easily) : 1. never copy and paste code, and 2. never write a code block longer than your screen. [thread]

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
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  14. 16 ಗಂಟೆಗಳ ಹಿಂದೆ

    Since this tweet is going kinda viral. Check out my instagram: Lots of birds. No statistics!

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  15. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    18 ಗಂಟೆಗಳ ಹಿಂದೆ
    ಅವರಿಗೆ ಪ್ರತಿಕ್ರಿಯಿಸುತ್ತಿದ್ದಾರೆ

    I don't think it's statistics is all right; data science is all wrong. Data science fills a need statistics didn't. So, the differences must be important. I'm curious about where the data field is going. The next major barrier to progress will be rooted in today's oversights.

    ರದ್ದುಗೊಳಿಸು
  16. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ಡಿಸೆಂ 19

    is brutal if you have anxiety &/or depression. I doubt I'm the only one falling apart at the end of a long year Solidarity to everyone struggling with the remorseless criticism, crippling workload & systemic bullying. Hope you have a long & healing rest over Christmas

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  17. 20 ಗಂಟೆಗಳ ಹಿಂದೆ

    An important difference between and : Consider the space of all possible models. MLers use model spaces that are close to that. Statisticians don't. They use 'assumptions' to rule out possible explanations of the data.

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  18. 20 ಗಂಟೆಗಳ ಹಿಂದೆ

    I tried to compare the meaning of 'inference' in vs. . For statistics, it's easy: crack open your favorite grad level book. For ML, it was a lot of blog posts and papers. More like liberal arts work i.e. bringing disparate texts into accordance.

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  19. 20 ಗಂಟೆಗಳ ಹಿಂದೆ

    A big challenge of talking about data science/machine learning is they are young and amorphous. Hard to say data scientists do X or machine learners do Y without some exception. Both fields are a bit of an anthropological field trip!

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  20. 20 ಗಂಟೆಗಳ ಹಿಂದೆ

    Somebody said to me today that statisticians care only about the data. I thought no, not at all. That's data scientists! Statisticians care about the model, and by extension the model given the data. That's a big difference! Thoughts? Feels?

    ರದ್ದುಗೊಳಿಸು
  21. 23 ಗಂಟೆಗಳ ಹಿಂದೆ
    ರದ್ದುಗೊಳಿಸು

ಲೋಡಿಂಗ್ ಸಮಯ ಸ್ವಲ್ಪ ತೆಗೆದುಕೊಳ್ಳುತ್ತಿರುವಂತೆನಿಸುತ್ತದೆ.

Twitter ಸಾಮರ್ಥ್ಯ ಮೀರಿರಬಹುದು ಅಥವಾ ಕ್ಷಣಿಕವಾದ ತೊಂದರೆಯನ್ನು ಅನುಭವಿಸುತ್ತಿರಬಹುದು. ಮತ್ತೆ ಪ್ರಯತ್ನಿಸಿ ಅಥವಾ ಹೆಚ್ಚಿನ ಮಾಹಿತಿಗೆ Twitter ಸ್ಥಿತಿಗೆ ಭೇಟಿ ನೀಡಿ.

    ಇದನ್ನೂ ಸಹ ನೀವು ಇಷ್ಟಪಡಬಹುದು

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