<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>HardML: A Benchmark For Evaluating Data Science And Machine Learning knowledge and reasoning in AI · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2501.15627/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2501.15627/feed.xml" rel="self" type="application/rss+xml" /><item><title>HardML: A Benchmark For Evaluating Data Science And Machine Learning knowledge and reasoning in AI — HN submission</title><link>https://news.ycombinator.com/item?id=43870679</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.15627:43870679</guid><pubDate>Fri, 02 May 2025 14:57:13 GMT</pubDate><description>&lt;p&gt;Show HN: I built an AI tool to practice technical interviews with&lt;/p&gt;&lt;p&gt;Hey HN, Check out our technical paper here: https://arxiv.org/abs/2501.15627 and the video demo: https://www.youtube.com/watch?v=Op8hyLW7Z84 I’ve been obsessed with the art of the interview since I was in college. In my career I interviewed over 100 people and was interviewed from tech companies from startups to big tech and hedge funds. I built Neuraprep because I noticed something missing — while software engineers have leetcode.com and finance folks have quantquestions.com, other engineering domains (like ML, data science, MLOps) don’t have a go-to platform to prep for interviews. Sure…&lt;/p&gt;&lt;p&gt;12 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2501.15627/"&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>
