<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Brief Introduction to Machine Learning for Engineers · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1709.02840/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1709.02840/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Brief Introduction to Machine Learning for Engineers — HN submission</title><link>https://news.ycombinator.com/item?id=36116203</link><guid isPermaLink="false">urn:hackerpapers:submission:1709.02840:36116203</guid><pubDate>Mon, 29 May 2023 17:49:08 GMT</pubDate><description>&lt;p&gt;A Brief Introduction to Machine Learning for Engineers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1709.02840/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>A Brief Introduction to Machine Learning for Engineers — HN submission</title><link>https://news.ycombinator.com/item?id=28628970</link><guid isPermaLink="false">urn:hackerpapers:submission:1709.02840:28628970</guid><pubDate>Thu, 23 Sep 2021 13:40:45 GMT</pubDate><description>&lt;p&gt;A Brief Introduction to Machine Learning for Engineers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;31 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1709.02840/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>A Brief Introduction to Machine Learning for Engineers — HN submission</title><link>https://news.ycombinator.com/item?id=16461571</link><guid isPermaLink="false">urn:hackerpapers:submission:1709.02840:16461571</guid><pubDate>Sun, 25 Feb 2018 22:28:33 GMT</pubDate><description>&lt;p&gt;A Brief Introduction to Machine Learning for Engineers (2017)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;379 points; 38 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1709.02840/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>A Brief Introduction to Machine Learning for Engineers — HN submission</title><link>https://news.ycombinator.com/item?id=15263843</link><guid isPermaLink="false">urn:hackerpapers:submission:1709.02840:15263843</guid><pubDate>Sat, 16 Sep 2017 09:52:04 GMT</pubDate><description>&lt;p&gt;A Brief Introduction to Machine Learning for Engineers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1709.02840/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>A Brief Introduction to Machine Learning for Engineers — HN submission</title><link>https://news.ycombinator.com/item?id=15230287</link><guid isPermaLink="false">urn:hackerpapers:submission:1709.02840:15230287</guid><pubDate>Tue, 12 Sep 2017 18:44:24 GMT</pubDate><description>&lt;p&gt;A Brief Introduction to Machine Learning for Engineers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1709.02840/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>A Brief Introduction to Machine Learning for Engineers — HN submission</title><link>https://news.ycombinator.com/item?id=15225848</link><guid isPermaLink="false">urn:hackerpapers:submission:1709.02840:15225848</guid><pubDate>Tue, 12 Sep 2017 09:06:03 GMT</pubDate><description>&lt;p&gt;A Brief Introduction to Machine Learning for Engineers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1709.02840/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
