Carlos Scheidegger

@scheidegger

vis, data analysis, assistant prof, arizona; tilting at the entropy windmill; do the good that's in front of you. he/him

Tucson, AZ
Vrijeme pridruživanja: lipanj 2009.

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  1. 1. velj

    I *just* realized that "The future is already here, it's just not evenly distributed" is pretty much the same statement as "The past is never dead. It's not even past."

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  2. proslijedio/la je Tweet
    31. sij

    We're seeking interviewees for a study on the use of automated machine learning () tools. The interview will take ~one hour, and you will be compensated for your insights. Please sign up via if you're interested in participating.

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  3. 31. sij

    Anyone else at been getting real strong checkerboard afterimages in their eyes after watching the presenters and the background at ballroom A+B?

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  4. 30. sij
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  5. 30. sij

    And more recent work with gets really deep into what we call rigor and whether it makes sense to keep to a sterile notion of “truth”. Deeply important reflections here

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  6. 30. sij

    Design study methodology is now a classic in the field:

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  7. 30. sij

    What I appreciate about ’s work and shows in her talk is that you need deep, meaningful interactions with the stakeholders if you want to build truly good data visualizations. her methodological work on this is def worth reading

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  8. 30. sij

    You can already see the results of the culture (in the examples I tweeted yesterday), but I’m particularly excited about what this community will look like in 5-10 years

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  9. 30. sij

    Here again in ’s keynote is the very deliberate practice at of treating *everyone* as a core contributor to the ecosystem. The same talk that describes debugging of day-to-day analysis introduces test suites and continuous integration.

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  10. proslijedio/la je Tweet
    30. sij

    My big takeaway from has been understanding the context of the tension between "algorithmic" and "anti-algorithmic" solutions Sometimes there's a problem where you should do some code or math to make it better Sometimes you just need to shut down the system

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  11. proslijedio/la je Tweet
    30. sij
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  12. proslijedio/la je Tweet
    30. sij

    Glad I don't have to keep this a secret anymore - is in Toronto next year! Excited to welcome everyone up to Canada in January ❄️❄️❄️ 🇨🇦🇨🇦🇨🇦

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  13. proslijedio/la je Tweet
    30. sij

    I'll add in passing that one of the best things about is a general vibe—clearly cultivated by the organizers—that feels much more "Hey look at this thing you can do, isn't it really awesome?" and much less "Hey look at this thing I can do, aren't I really smart?"

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  14. 30. sij

    you'll say: "wait wait, autograph is also a thing in python". But it's a thing _inside tensorflow_. in R, tfautograph was built by the community. It's a critical distinction that is kind of the whole point here.

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  15. 30. sij

    in CS-speak, this is a "source-to-source compiler"; in R, this is an (admittedly awesome) package that someone built to solve their problem!

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  16. 30. sij

    Like, let me give you another example I also learned of today. There's this package in R called tfautograph which takes an R function, analyses it, and then emits tensorflow code that "does the right thing":

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  17. 30. sij

    Like, I honestly look at this and it’s the closest community I know of to papert’s vision. I know this is gushing, but I felt this last year and I feel it again this year. It’s so damn refreshing

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  18. 30. sij

    In my view, the community works really hard to make everyone understand what’s going on, and how uniquely empowering this is

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  19. 30. sij

    What should be humbling about this for CS educators is that in CS classrooms, DSLs are still thought to be esoteric and fancy. But to paraphrase Ivan Sutherland, the community as a whole doesn’t know this is supposed to be A Hard Thing, so they just do it! Incredible.

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  20. 30. sij

    You can see how it could be combined by a description of the statistical design, and you’d have a DSL that end-to-end describes, runs, *and* analyses an experiment. It is mind blowing to think we’re close to being able to do this

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