skierscott

4 ms·

1.
Visualization of Covid-19 infection rates(stsievert.com)
1 points by skierscott 7y ago|0 comments
2.
by skierscott 8y ago
> 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 technique called softmax [1]. This happens as the final opera
3.
by skierscott 8y ago
mpi4py is a solid implementation, but the docs aren’t the greatest, especially if you’re not familiar with MPI.
4.
by skierscott 8y ago
On iOS this isn’t functional. I can’t advance past the first slide.
5.
by skierscott 8y ago
>> 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 it open source would alleviate a lot of dev concerns.
6.
by skierscott 8y ago
> 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.
by skierscott 9y ago
My favorite is Alan Turings quote: > Mathpix's AI definitely passes THIS Turing test!
8.
by skierscott 9y ago
Isn’t this what JITs do?
9.
by skierscott 9y ago
> “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 (including content) according to the application of the
10.
by skierscott 9y ago
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.
by skierscott 9y ago
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 the fact that inf-inf is meaningless.
12.
by skierscott 9y ago
Where does Apple Notes store it’s files? What format are they in?
13.
by skierscott 9y ago
Wow, great demo. Even works on mobile!
14.
by skierscott 9y ago
> 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]. To be fair, he did reduce the error by 35%. [1]: https:&#x
15.
by skierscott 9y ago
> 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 didn’t find until Python 3.5. – @, the matmul operat
16.
TensorFlow meets PyTorch with Eager execution(medium.com)
3 points by skierscott 9y ago|0 comments
17.
by skierscott 9y ago
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, the main developer
18.
by skierscott 9y ago
...I read the article in Safaris Reader mode. The font is too big for mobile. But this is a great article.
19.
by skierscott 9y ago
> 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 classic anxiety; I experienced social anxiety and depress
20.
by skierscott 9y ago
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/blog/2017/06/11&#x2F
21.
by skierscott 9y ago
D’oh. I meant anonyomized (I would edit comment but can’t).
22.
by skierscott 9y ago
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 NumPy arrays (meaning rest of Python can be used!). This is a
23.
by skierscott 9y ago
PyTorch does have ONNX, a tool to convert from PyTorch models to Caffe2 models: http://pytorch.org/tutorials/advanced/super_resolution_with_...
24.
by skierscott 9y ago
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 their income. The records were de-anonymized but there’s enough
25.
by skierscott 9y ago
iCloud security overview: https://support.apple.com/en-us/HT202303
26.
by skierscott 9y ago
I'm excited for self-driving cars and ML/AI tools that help professionals (e.g., drug discovery, treatment). The Keras lead developer wrote a post called "The future of deep learning"[1]. The podcast Partially Derivative
27.
by skierscott 9y ago
Same here.
28.
by skierscott 9y ago
Whoops -- thanks for that! I forgot to give that link but meant to.
29.
by skierscott 9y ago
It appears the largest benefits is embedding Lua code into TeX (found at [1] in "Programmability"). The example they present from that page: \documentclass{article} \usepackage{luacode} \begin{document} \pagestyl
30.
by skierscott 9y ago
The details: https://puri.sm/shop/librem-5/ > that can also become a full desktop computer with an option for a compatible keyboard, mouse, and monitor ... It can be a desktop computer and phone all-in-one. I&

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