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skierscott

HN member
Joined
Wed, Feb 08, 2012, 5:07 PM UTC
HN karma
406
Public activity
180 items

About skierscott

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Recent public activity

  1. story
  2. comment
    Comment #18051038

    > a low confidence score Neural nets should return a low confidence score. But, the popular approach (described below) ignores that. Neural nets ignore confidence because of a tech…

  3. comment
    Comment #17237697

    mpi4py is a solid implementation, but the docs aren’t the greatest, especially if you’re not familiar with MPI.

  4. comment
    Comment #17227521

    On iOS this isn’t functional. I can’t advance past the first slide.

  5. comment
    Comment #17227502

    >> Going forward, GitHub will remain an open platform, which any developer can plug into and extend. Does an “open platform” mean “open source” or “a plugin system”? I think making…

  6. comment
    Comment #17057790

    > Some states destroy the blood spots after a year, 12 states store them for at least 21 years. What are the other 12 states?

  7. comment
    Comment #16536079

    My favorite is Alan Turings quote: > Mathpix's AI definitely passes THIS Turing test!

  8. comment
    Comment #16425202

    Isn’t this what JITs do?

  9. comment
    Comment #16417647

    > “If you understand and agree, Apple and GCBD have the right to access your data stored on its servers. This includes permission sharing, exchange, and disclosure of all user data…

  10. comment
    Comment #16262908

    There’s also a closed form for the Fibonacci numbers. It runs in O(1). http://stsievert.com/blog/2015/01/31/the-mysterious-eigenval...

  11. comment
    Comment #15895039

    Not true. Infinite sums are not defined for series that don’t converge, and sum(1..n) does not converge as n => infinity. Yes, you can play a nice trick with that sum if you ignore…

  12. comment
    Comment #15816134

    Where does Apple Notes store it’s files? What format are they in?

  13. comment
    Comment #15772681

    Wow, great demo. Even works on mobile!

  14. comment
    Comment #15718980

    > 2% is HUGE at this point Hell, on MNIST 0.14% is huge. Geff Hinton created an entire new architecture to get 0.25% error, which is far better than the baseline 0.39% error [1]. T…

  15. comment
    Comment #15709110

    > what has changed in Python 3.6 that they're happy to do this now when they were pissed off about it a couple years ago? Most of mine have to do with developer productovity and I …

  16. story
  17. comment
    Comment #15564719

    This adds support for new compilers. This makes Dask (pure Python paralleization) run 20% faster https://twitter.com/mrocklin/status/923581208482721794 according to Matthew Rocklin…

  18. comment
    Comment #15477488

    ...I read the article in Safaris Reader mode. The font is too big for mobile. But this is a great article.

  19. comment
    Comment #15454177

    > Was this was the anxiety that had been mentioned in the medical literature? I don’t know. I’ve had a difference expierence with brain injury and anxiety. My recovery resulted in …

  20. comment
    Comment #15409825

    Turns out generating a ML model is pretty easy too, even after training in Python. There's a simple 2 or 3 line conversion from keras/sklearn to an ML model. http://stsievert.com/b…

  21. comment
    Comment #15362336

    D’oh. I meant anonyomized (I would edit comment but can’t).

  22. comment
    Comment #15362306

    I’m doing research (not deployment) and have the same feeling. PyTorch has inspired a blog post [1], Tensorflow didn’t. Briefly, the benefits of PyTorch are * easy conversion to Nu…

  23. comment
    Comment #15362274

    PyTorch does have ONNX, a tool to convert from PyTorch models to Caffe2 models: http://pytorch.org/tutorials/advanced/super_resolution_with_...

  24. comment
    Comment #15355104

    I work with data scientists and it’s scary how much they have access to. One first hand story: this person searched a database to find tax records for a specific individual and the…

  25. comment
    Comment #15304045

    iCloud security overview: https://support.apple.com/en-us/HT202303