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  1. Mengetweet Semula
    19 Dis

    This might be a vector of "missing data," but I choose to see it as a vector of "all the small things."

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  2. Mengetweet Semula
    22 jam lalu

    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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  3. 19 Dis

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

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  4. 19 Dis

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

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  5. Mengetweet Semula
    17 Dis

    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:

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  6. 17 Dis

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

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  7. Mengetweet Semula
    17 Dis

    🦕 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.

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  8. Mengetweet Semula
    15 Dis

    “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.

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  9. 15 Dis

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

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  10. 15 Dis

    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 – di Joe Coffee Company

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  11. Mengetweet Semula
    14 Dis

    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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  12. Mengetweet Semula
    14 Dis

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

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  13. 14 Dis

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

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  14. Mengetweet Semula
    14 Dis

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

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  15. Mengetweet Semula
    13 Dis

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

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  16. 13 Dis

    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

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  17. Mengetweet Semula
    11 Dis

    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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  18. Mengetweet Semula
    11 Dis

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

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  19. 12 Dis

    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()

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  20. 12 Dis

    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 😅

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