Colin Carroll

@colindcarroll

Software engineer. Interested in Python, R, math, and machine learning. Not opposed to hiking, running, and biking. PyMC3 + ArviZ developer. he/his.

Cambridge, MA
colindcarroll.com
Vrijeme pridruživanja: prosinac 2013.
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  1. Prikvačeni tweet
    31. sij 2018.

    Just released imcmc so you can make your images into probability distributions and then into gifs:

    1 reply 40 proslijeđenih tweetova 154 korisnika označavaju da im se sviđa
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  2. proslijedio/la je Tweet
    prije 4 sata

    Ok, Bayesian friends and Scala friends: I'd love to hear what you think of the newest Rainier release, including a new website with much more extensive documentation at .

    6 proslijeđenih tweetova 35 korisnika označava da im se sviđa
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  3. 25. sij

    More texture experiments with !

    1 proslijeđeni tweet 30 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    24. sij
    Odgovor korisniku/ci

    The Washington Post was saying "bajillionaire" for 5 years before the New York Times did:

    2 proslijeđena tweeta 6 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    24. sij

    Check out the new release of NumPyro . This includes an implementation of 's Block Neural Autoregressive Flow in JAX and its usage in MCMC. Also, let us know what you think about the new Sample Adaptive MCMC sampler.

    32 proslijeđena tweeta 132 korisnika označavaju da im se sviđa
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  6. 24. sij

    This is wonderful! If anyone else is curious, the [cross-validated:$number] citations refer to

    A non-standard review of MCMC methods by Christian Robert and Wu Changye. "Non-standard" in that is augmented with questions found on Cross-validated
    2 proslijeđena tweeta 9 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    23. sij

    Hello, world! This is the official account for NumPy, the fundamental package for scientific computing with Python. Follow us for news, info and content related to NumPy!

    647 proslijeđenih tweetova 2.866 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    20. sij

    I started a weekly email newsletter for people interested in seeing the most interesting machine learning conversations on Twitter. Each issue highlights 5-10 arXiv papers + related tweets. Check out the latest issue here and subscribe to get it next week!

    1 reply 22 proslijeđena tweeta 107 korisnika označava da im se sviđa
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  9. 19. sij

    Here's the code. To all the physicists: I am so, so sorry.

    1 reply 5 proslijeđenih tweetova 48 korisnika označava da im se sviđa
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  10. 19. sij

    Ok, I got a pretty good port of these Maxwell equation figures into Python. Heavy use of JAX and . I'll tidy up the code post it here later.

    7 replies 47 proslijeđenih tweetova 312 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    17. sij

    Revised Rhatv5 and ESS paper (me, , , Bob Carpenter, ) now in . We've tried to improve clarity and added more details, references, and relations to other algorithms. Only minor changes in the algorithm code.

    12 proslijeđenih tweetova 39 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    17. sij

    Ep. 7 of 'Learn Bayes Stats' is online! What are the implementation & design differences btw , & ? Also, how to debug your models? The great shares his workflow with you! See U in your favorite podcatcher or @

    31 proslijeđeni tweet 113 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    16. sij

    We badly need more diversity in open-source scientific software. If you identify as female/non-binary, my messages are open if you want to chat about how to get involved with open-source (in particular Python for science / Pydata). Open-source dev is great for acquiring skills!

    15 replies 160 proslijeđenih tweetova 350 korisnika označava da im se sviđa
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  14. proslijedio/la je Tweet
    10. sij

    New Post (for the Weekend Long Read): "Bayesian Methods for Modeling Field Goals in NFL Football"

    1 reply 4 proslijeđena tweeta 11 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    15. sij

    has opened reviewer registrations—you can volunteer to review talks, posters or tutorials using this Google form. We are so grateful for your help!

    1 reply 26 proslijeđenih tweetova 22 korisnika označavaju da im se sviđa
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  16. proslijedio/la je Tweet
    13. sij

    hey product people! tired of optimizing clicks / managing your team's 500th a/b test / slinging dtc goods? come on over to and help save the world. i promise you won't be bored, and you will make a difference:

    60 proslijeđenih tweetova 149 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    13. sij

    I'd like to do a session this year on GIS & art. And also one on lasercutters/CNC and design s/w for them. Or maybe they should be the same one. Who's interested? /cc

    Sneak preview of a project I'm working on. These are topographically accurate models of Santa Catalina island. You might recognize from your Mac OS X wallpaper ;-) I think you might like this!
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    6 replies 4 proslijeđena tweeta 18 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    7. sij

    I summarized some of my thoughts on grant-based funding of open source software in a new blog post: Don't fund software that doesn't exit. cc

    11 replies 91 proslijeđeni tweet 221 korisnik označava da mu se sviđa
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  19. 6. sij

    Porgabilistic porgramming

    1 reply 8 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    5. sij
    Odgovor korisniku/ci

    whenever i use a gamma distribution i end up either sampling from it or numerically integrating it for moments to make sure I understand the parameterization

    1 proslijeđeni tweet 4 korisnika označavaju da im se sviđa
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  21. 5. sij

    From this I learned: 1. The posterior predictive distribution of a Poisson with a Gamma prior is a negative binomial 2. PyMC3 parameterizes the Gamma two ways, neither of which is how scipy does it

    Blog post: Poisson distributions, gamma distributions, and Poisson processes: (Some more friendly neighborhood distributions)
    10 proslijeđenih tweetova 67 korisnika označava da im se sviđa
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