<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>negative sampling Archives - Petamind</title>
	<atom:link href="https://petaminds.com/tag/negative-sampling/feed/" rel="self" type="application/rss+xml" />
	<link>https://petaminds.com/tag/negative-sampling/</link>
	<description>A.I, Data and Software Engineering</description>
	<lastBuildDate>Tue, 05 Oct 2021 06:07:38 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>

<image>
	<url>https://petaminds.com/wp-content/uploads/2019/09/ic_launcher.png</url>
	<title>negative sampling Archives - Petamind</title>
	<link>https://petaminds.com/tag/negative-sampling/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Fast uniform negative sampling for rating matrix</title>
		<link>https://petaminds.com/fast-uniform-negative-sampling-for-rating-matrix/</link>
					<comments>https://petaminds.com/fast-uniform-negative-sampling-for-rating-matrix/#comments</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Fri, 21 Feb 2020 10:07:13 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[matrix]]></category>
		<category><![CDATA[negative sampling]]></category>
		<category><![CDATA[numpy]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[rating]]></category>
		<category><![CDATA[scipy]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2250</guid>

					<description><![CDATA[<p>Sometimes, we want to reduce the training time by using a subset of a very large dataset while the negative samples outnumbers the positive ones, e.g. word embedding. Another situation when we deal with implicit data. In this case, we may need to populate new data for negative values. This post demonstrates how to generate [&#8230;]</p>
<p>The post <a href="https://petaminds.com/fast-uniform-negative-sampling-for-rating-matrix/">Fast uniform negative sampling for rating matrix</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
					<wfw:commentRss>https://petaminds.com/fast-uniform-negative-sampling-for-rating-matrix/feed/</wfw:commentRss>
			<slash:comments>1</slash:comments>
		
		
			</item>
		<item>
		<title>Movielens automation- Process and export</title>
		<link>https://petaminds.com/movielens-automation-process-and-export/</link>
					<comments>https://petaminds.com/movielens-automation-process-and-export/#comments</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Sun, 03 Nov 2019 20:48:26 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[dataset]]></category>
		<category><![CDATA[libfm]]></category>
		<category><![CDATA[movie lens]]></category>
		<category><![CDATA[negative sampling]]></category>
		<category><![CDATA[svm light]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=1670</guid>

					<description><![CDATA[<p>Movie lens is a popular collection of datasets for recommender systems. This post introduces a python script to process the movie lens datasets, generate a negative sample, and transforms the datasets into SVM light format. The format is also known as libfm format used in many factorization machines. Movie Lens datasets MovieLens is a web-based recommender system and virtual [&#8230;]</p>
<p>The post <a href="https://petaminds.com/movielens-automation-process-and-export/">Movielens automation- Process and export</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
					<wfw:commentRss>https://petaminds.com/movielens-automation-process-and-export/feed/</wfw:commentRss>
			<slash:comments>3</slash:comments>
		
		
			</item>
	</channel>
</rss>
