<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: skierscott</title><link>https://news.ycombinator.com/user?id=skierscott</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 31 May 2026 17:30:26 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=skierscott" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[Visualization of Covid-19 infection rates]]></title><description><![CDATA[
<p>Article URL: <a href="https://stsievert.com/blog/2020/03/14/covid-19/">https://stsievert.com/blog/2020/03/14/covid-19/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=22584797">https://news.ycombinator.com/item?id=22584797</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 15 Mar 2020 17:19:04 +0000</pubDate><link>https://stsievert.com/blog/2020/03/14/covid-19/</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=22584797</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=22584797</guid></item><item><title><![CDATA[New comment by skierscott in "Machine Learning Confronts the Elephant in the Room"]]></title><description><![CDATA[
<p>> a low confidence score<p>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].<p>This happens as the final operation of a neural net, and is required for training.<p>Softmax is a tool to make an array of positive numbers look like a probability distribution:<p><pre><code>    out = x / x.sum()
</code></pre>
x[i] is a class prediction, but x.sum() != 1. Say if the network was uncertain, x[cat, dog] = [0.03, 0.01]. These are small values that do not imply great confidence (the network was trained on vectors with out.sum() = 1. The network would predict “dog” using softmax because out[dog] = 0.75 > 0.25 = out[cat].<p>But then in inference/prediction, the confidence is ignored. What if x.sum() is small? That would imply that the network is uncertain.<p>[1]: <a href="https://en.m.wikipedia.org/wiki/Softmax_function" rel="nofollow">https://en.m.wikipedia.org/wiki/Softmax_function</a></p>
]]></description><pubDate>Sun, 23 Sep 2018 13:42:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=18051038</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=18051038</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=18051038</guid></item><item><title><![CDATA[New comment by skierscott in "Advanced computing with IPython"]]></title><description><![CDATA[
<p>mpi4py is a solid implementation, but the docs aren’t the greatest, especially if you’re not familiar with MPI.</p>
]]></description><pubDate>Tue, 05 Jun 2018 14:09:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=17237697</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=17237697</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17237697</guid></item><item><title><![CDATA[New comment by skierscott in "Chris, Nat and Satya's Calldeck Regarding Microsoft and GitHub"]]></title><description><![CDATA[
<p>On iOS this isn’t functional. I can’t advance past the first slide.</p>
]]></description><pubDate>Mon, 04 Jun 2018 13:27:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=17227521</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=17227521</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17227521</guid></item><item><title><![CDATA[New comment by skierscott in "Microsoft acquires Github"]]></title><description><![CDATA[
<p>>> Going forward, GitHub will remain an open platform, which any developer can plug into and extend.<p>Does an “open platform” mean “open source” or “a plugin system”? I think making it open source would alleviate a lot of dev concerns.</p>
]]></description><pubDate>Mon, 04 Jun 2018 13:25:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=17227502</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=17227502</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17227502</guid></item><item><title><![CDATA[New comment by skierscott in "DNA of every baby born in California is stored. Who has access to it?"]]></title><description><![CDATA[
<p>> Some states destroy the blood spots after a year, 12 states store them for at least 21 years.<p>What are the other 12 states?</p>
]]></description><pubDate>Sun, 13 May 2018 07:45:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=17057790</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=17057790</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17057790</guid></item><item><title><![CDATA[New comment by skierscott in "Show HN: Convert screenshots of equations to LaTeX"]]></title><description><![CDATA[
<p>My favorite is Alan Turings quote:<p>> Mathpix's AI definitely passes THIS Turing test!</p>
]]></description><pubDate>Wed, 07 Mar 2018 13:08:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=16536079</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=16536079</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16536079</guid></item><item><title><![CDATA[New comment by skierscott in "A promenade of PyTorch"]]></title><description><![CDATA[
<p>Isn’t this what JITs do?</p>
]]></description><pubDate>Tue, 20 Feb 2018 23:14:30 +0000</pubDate><link>https://news.ycombinator.com/item?id=16425202</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=16425202</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16425202</guid></item><item><title><![CDATA[New comment by skierscott in "How Apple is paving the way to a ‘cloud dictatorship’ in China"]]></title><description><![CDATA[
<p>> “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 law.”<p>> In other words, once the agreement is signed, GCBD — a company solely owned by the state — would get a key that can access all iCloud user data in China, legally.<p>What user data will this decrypt? Are iMessage and FaceTime still safe?</p>
]]></description><pubDate>Tue, 20 Feb 2018 03:31:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=16417647</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=16417647</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16417647</guid></item><item><title><![CDATA[New comment by skierscott in "Outperforming LAPACK with C++ metaprogramming"]]></title><description><![CDATA[
<p>There’s also a closed form for the Fibonacci numbers. It runs in O(1).<p><a href="http://stsievert.com/blog/2015/01/31/the-mysterious-eigenvalue/" rel="nofollow">http://stsievert.com/blog/2015/01/31/the-mysterious-eigenval...</a></p>
]]></description><pubDate>Tue, 30 Jan 2018 04:33:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=16262908</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=16262908</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16262908</guid></item><item><title><![CDATA[New comment by skierscott in "Project Euler"]]></title><description><![CDATA[
<p>Not true. Infinite sums are not defined for series that don’t converge, and sum(1..n) does not converge as n => infinity.<p>Yes, you can play a nice trick with that sum if you ignore the fact that inf-inf is meaningless.</p>
]]></description><pubDate>Mon, 11 Dec 2017 03:51:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=15895039</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15895039</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15895039</guid></item><item><title><![CDATA[New comment by skierscott in "Joplin – A note-taking and to-do app with builds for desktop, mobile, terminal"]]></title><description><![CDATA[
<p>Where does Apple Notes store it’s files? What format are they in?</p>
]]></description><pubDate>Thu, 30 Nov 2017 14:55:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=15816134</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15816134</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15816134</guid></item><item><title><![CDATA[New comment by skierscott in "Terrain rendering in fewer than 20 lines of code"]]></title><description><![CDATA[
<p>Wow, great demo. Even works on mobile!</p>
]]></description><pubDate>Fri, 24 Nov 2017 19:54:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=15772681</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15772681</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15772681</guid></item><item><title><![CDATA[New comment by skierscott in "Deep Learning Is Eating Software"]]></title><description><![CDATA[
<p>> 2% is HUGE at this point<p>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].<p>To be fair, he did reduce the error by 35%.<p>[1]:<a href="https://arxiv.org/pdf/1710.09829.pdf" rel="nofollow">https://arxiv.org/pdf/1710.09829.pdf</a></p>
]]></description><pubDate>Fri, 17 Nov 2017 04:42:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=15718980</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15718980</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15718980</guid></item><item><title><![CDATA[New comment by skierscott in "Numpy: Plan for dropping Python 2.7 support"]]></title><description><![CDATA[
<p>> 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?<p>Most of mine have to do with developer productovity and I didn’t find until Python 3.5.<p>– @, the matmul operator<p>– fstrings (f”{foo}”)<p>– parameter typing (foo: int = 0) which has exciting work with Cython<p>– other async features. I forget what library it was (tensorflow?) but for Python 3 it had better async support</p>
]]></description><pubDate>Wed, 15 Nov 2017 23:42:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=15709110</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15709110</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15709110</guid></item><item><title><![CDATA[TensorFlow meets PyTorch with Eager execution]]></title><description><![CDATA[
<p>Article URL: <a href="https://medium.com/@yaroslavvb/tensorflow-meets-pytorch-with-eager-mode-714cce161e6c">https://medium.com/@yaroslavvb/tensorflow-meets-pytorch-with-eager-mode-714cce161e6c</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=15591987">https://news.ycombinator.com/item?id=15591987</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 31 Oct 2017 09:52:42 +0000</pubDate><link>https://medium.com/@yaroslavvb/tensorflow-meets-pytorch-with-eager-mode-714cce161e6c</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15591987</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15591987</guid></item><item><title><![CDATA[New comment by skierscott in "Anaconda 5.0 Released"]]></title><description><![CDATA[
<p>This adds support for new compilers.<p>This makes Dask (pure Python paralleization) run 20% faster <a href="https://twitter.com/mrocklin/status/923581208482721794" rel="nofollow">https://twitter.com/mrocklin/status/923581208482721794</a> according to Matthew Rocklin, the main developer</p>
]]></description><pubDate>Fri, 27 Oct 2017 01:01:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=15564719</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15564719</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15564719</guid></item><item><title><![CDATA[New comment by skierscott in "Boiling lead and black art: a history of mathematical typography"]]></title><description><![CDATA[
<p>...I read the article in Safaris Reader mode. The font is too big for mobile.<p>But this is a great article.</p>
]]></description><pubDate>Sun, 15 Oct 2017 15:22:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=15477488</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15477488</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15477488</guid></item><item><title><![CDATA[New comment by skierscott in "Diary of a Concussion"]]></title><description><![CDATA[
<p>> Was this was the anxiety that had been mentioned in the medical literature?<p>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 depression.</p>
]]></description><pubDate>Wed, 11 Oct 2017 22:40:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=15454177</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15454177</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15454177</guid></item><item><title><![CDATA[New comment by skierscott in "Core ML Community Tools"]]></title><description><![CDATA[
<p>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.<p><a href="http://stsievert.com/blog/2017/06/11/coreml/" rel="nofollow">http://stsievert.com/blog/2017/06/11/coreml/</a><p>I verified this because I'm a graduate student studying ML and I'll likely use this.</p>
]]></description><pubDate>Thu, 05 Oct 2017 15:14:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=15409825</link><dc:creator>skierscott</dc:creator><comments>https://news.ycombinator.com/item?id=15409825</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15409825</guid></item></channel></rss>