David Robinson

@drob

Chief Data Scientist at , fan/evangelist

New York, NY
varianceexplained.org
加入于 2009年6月
1,377 个照片和视频 照片和视频

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  1. 转推了
    11小时前

    I'll be speaking at about a streamlined workflow for tidy time series analysis using tsibble and fable. A warm-up post to provide an overview of tsibble with a case study of NYC Citi bike data.

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  2. 24小时前

    If Trump actually did shoot someone on Fifth Avenue, the headline would be “In midtown violence, echoes of a campaign boast”

    7 转推 65 喜欢
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  3. 24小时前

    NYT reporters are under a Cassandra-like curse where they get amazing scoops but have to hide it behind vaguely dramatic headlines

    This is not the main point but it is amazing that the NYT hed for "Facebook let Netflix and Spotify spy on your DMs" is "As Facebook Raised a Privacy Wall, It Carved an Opening for Tech Giants"
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  4. 转推了
    12月17日

    Happy to announce that we have some internship positions available in statistics and machine learning at Netflix for next summer. Visit this posting to learn more:

    1回复 63 转推 84 喜欢
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  5. 12月17日

    Nothing beside remains. Round the decay Of that colossal Wreck, boundless and bare The lone and level sands stretch far away.

    3回复 6 转推 63 喜欢
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  6. 转推了
    12月17日

    🦕 My latest weekend project is a game to guess which tweets are from Kanye and which are from Elon. ➡️ 😜 It’s harder than it sounds. 🎉 Good luck.

    29回复 231 转推 670 喜欢
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  7. 转推了
    12月15日

    “There’s already 20 million people who can build software - isn’t that enough?” No. Until making your own software is as accessible as writing your own book, we’re not there yet. Not everyone can (or wants to) write a great book, but most have the baseline skills to try.

    14回复 48 转推 316 喜欢
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  8. 12月15日

    I have such a common and easy name how did I fuck this up

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  9. 12月15日

    The barista heard my name as Gabe and I didn’t correct her. I’m going back for seconds and heaven help me I’m going to have to say Gabe again – 在 Joe Coffee Company

    6回复 1 转推 23 喜欢
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  10. 转推了
    12月14日

    About to get a haircut, time to make a vague statement about what I want and immediately agree to however they interpret it.

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  11. 转推了
    12月14日

    it's called a confusion matrix because you can never remember what the rows and columns mean

    9回复 270 转推 1,466 喜欢
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  12. 12月14日

    "You'll have plenty of time to get kidnapped after your manuscript is submitted"

    A Swedish-Iraqi student was rescued from an ISIS held town sometime in 2014 by mercenaries in four SUV’s hired by his thesis advisor and we’re only just hearing about it. 😬
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  13. 转推了
    12月14日

    "Why my code crash?" "Sir, I'll need a self-contained reproducible exa--" "WHY MY CODE NO RUN?!!"

    4:11
    Just remember, these are elected officials and our tax dollars are being used for this
    6回复 50 转推 247 喜欢
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  14. 转推了
    12月13日

    monty hall problem solved in . Inspired by 's screen casts

    1回复 10 转推 53 喜欢
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  15. 12月13日

    In the orientation for my PhD program, a professor recommended a biology class, but added “It’s probably too hard for someone whose background is, say, statistics.” I was the only stats major in the program, which he knew. He did not like me

    Tweet your favorite diss while in grad school. Mine: I went to my mathematical logic professor for help understanding the proof of a complicated theorem. He replied: “Don’t feel bad, Scott. Even talented students have problems with this.”
    1回复 6 转推 65 喜欢
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  16. 转推了
    12月11日

    I've been using travis for quite some years, and this is still what my commit history looks like when trying to set up a new configuration

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  17. 转推了
    12月11日

    An open letter to , , and regarding algorithms and my son's birth:

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  18. 12月12日

    Here's an alternative solution to the problem that's much less readable but fits in a tweet: mean(replicate(1e5, all(between(cumsum(rbinom(10, 1, rep(c(.5, .4), 5)) * rep(c(-1, 1), 5)), -2, 1)))) only non-base function is dplyr's between()

    In this 20 minute bonus screencast, I answer a probability puzzle from last Friday's "Riddler" column using Monte Carlo simulation in 🎲 It's hard to solve puzzles under pressure 😅
    2回复 5 转推 22 喜欢
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  19. 12月12日

    In this 20 minute bonus screencast, I answer a probability puzzle from last Friday's "Riddler" column using Monte Carlo simulation in 🎲 It's hard to solve puzzles under pressure 😅

    1回复 18 转推 130 喜欢
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  20. 转推了
    12月12日

    📕 If you or a friend have a kid learning to 📖 read 📖 get a deck! (we can still ship in time for xmas) 📕

    2回复 6 转推 4 喜欢
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