<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Fri, 24 Apr 2026 07:11:44 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/machinelearningpapers/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Some landmark papers in Machine Learning.]]></title><description><![CDATA[There are many papers that one could list but.. I very much enjoyed the following paper : "Machine Learning that Matters" that you can find in the following link ( . Also the paper in : "A]]></description><link>http://direct.ecency.com/machinelearningpapers/@alketcecaj/some-landmark-papers-in-machine-learning</link><guid isPermaLink="true">http://direct.ecency.com/machinelearningpapers/@alketcecaj/some-landmark-papers-in-machine-learning</guid><category><![CDATA[machinelearningpapers]]></category><dc:creator><![CDATA[alketcecaj]]></dc:creator><pubDate>Fri, 25 Aug 2017 13:28:03 GMT</pubDate></item></channel></rss>