<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine-Learning on Frosteryd</title><link>https://frosteryd.me/tags/machine-learning/</link><description>Recent content in Machine-Learning on Frosteryd</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 Jun 2018 00:00:00 +0000</lastBuildDate><atom:link href="https://frosteryd.me/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Sun Eye</title><link>https://frosteryd.me/post/sun-eye/</link><pubDate>Fri, 01 Jun 2018 00:00:00 +0000</pubDate><guid>https://frosteryd.me/post/sun-eye/</guid><description>&lt;p&gt;&lt;img src="https://raw.githubusercontent.com/sun-labs/sun-eye/master/docs/assets/feature-detection-preview.gif" alt="Sun Eye cloud feature detection"&gt;&lt;/p&gt;
&lt;p&gt;Sun Eye is where it started: cameras pointed at the sky and a collection of
machine learning tools for hyperlocal weather prediction, built at
&lt;a href="https://github.com/sun-labs"&gt;Sun Labs&lt;/a&gt; together with
&lt;a href="https://github.com/xeloader"&gt;Victor&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;The idea: weather forecasts are regional, but clouds are local. If you can
see the sky above you, you should be able to predict the next hour better
than any national service. So we taught computers to look up.&lt;/p&gt;</description></item></channel></rss>