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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2201.00650/</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/2201.00650/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI — mentioned by incognito124</title><link>https://news.ycombinator.com/item?id=42807548</link><guid isPermaLink="false">urn:hackerpapers:mention:2201.00650:42807548</guid><pubDate>Thu, 23 Jan 2025 20:07:27 GMT</pubDate><description>&lt;p&gt;Definitely, eg https://arxiv.org/abs/2201.00650&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2201.00650/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI — mentioned by srvmshr</title><link>https://news.ycombinator.com/item?id=41084834</link><guid isPermaLink="false">urn:hackerpapers:mention:2201.00650:41084834</guid><pubDate>Sat, 27 Jul 2024 06:37:17 GMT</pubDate><description>&lt;p&gt;I found the &amp;quot;Deep learning interviews&amp;quot; book to be much more engaging and value for time. https://arxiv.org/abs/2201.00650 I did a cursory browse through on few sections of this current book (namely the CV module), and I think the questions are on the easier end for actual ML interviews/whiteboarding. Normally, I would face some more depth (and equivalently as a tech lead, similarly ask more than surface-level questions to potential hires). tldr: If you have gone through an introductory ML course like Andrew Ng&amp;#x27;s CS229 or CS230, these question banks seem obvious &amp;amp; trivial to solve.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2201.00650/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI — HN submission</title><link>https://news.ycombinator.com/item?id=41082584</link><guid isPermaLink="false">urn:hackerpapers:submission:2201.00650:41082584</guid><pubDate>Fri, 26 Jul 2024 21:44:46 GMT</pubDate><description>&lt;p&gt;Deep Learning Interviews (2021)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;55 points; 10 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2201.00650/"&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>Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI — HN submission</title><link>https://news.ycombinator.com/item?id=30078990</link><guid isPermaLink="false">urn:hackerpapers:submission:2201.00650:30078990</guid><pubDate>Tue, 25 Jan 2022 22:26:02 GMT</pubDate><description>&lt;p&gt;A collection of Deep Learning interview questions and solutions&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/2201.00650/"&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>Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI — HN submission</title><link>https://news.ycombinator.com/item?id=29811931</link><guid isPermaLink="false">urn:hackerpapers:submission:2201.00650:29811931</guid><pubDate>Wed, 05 Jan 2022 17:26:19 GMT</pubDate><description>&lt;p&gt;Deep Learning Interviews: Hundreds of fully solved job interview questions&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/2201.00650/"&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>Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI — HN submission</title><link>https://news.ycombinator.com/item?id=29797008</link><guid isPermaLink="false">urn:hackerpapers:submission:2201.00650:29797008</guid><pubDate>Tue, 04 Jan 2022 17:02:59 GMT</pubDate><description>&lt;p&gt;Deep Learning Interviews: Hundreds of fully solved job interview questions&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2201.00650/"&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>
