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	<title>Gigaom Search &#187; predictive models</title>
	<atom:link href="http://search.gigaom.com/tag/predictive-models/feed/" rel="self" type="application/rss+xml" />
	<link>http://search.gigaom.com</link>
	<description>Search and browse the archives</description>
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		<title>Netflix is open sourcing tools for analyzing data in Hadoop</title>
		<link>https://gigaom.com/2015/01/21/netflix-is-open-sourcing-tools-for-analyzing-data-in-hadoop/</link>
		<comments>https://gigaom.com/2015/01/21/netflix-is-open-sourcing-tools-for-analyzing-data-in-hadoop/#comments</comments>
		<pubDate>Wed, 21 Jan 2015 17:17:16 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Hive]]></category>
		<category><![CDATA[Apache Pig]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[predictive models]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:NFLX]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:NFLX]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=908412</guid>
		<description><![CDATA[The data team at  is opening sourcing some of the tools it uses to analyze data stored in Hadoop. The overall open source project is called Surus, and it focuses on&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/21/netflix-is-open-sourcing-tools-for-analyzing-data-in-hadoop/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<item>
		<title>In the name of accuracy, Google retools its Flu Trends model</title>
		<link>https://gigaom.com/2014/10/31/in-the-name-of-accuracy-google-retools-its-flu-trends-model/</link>
		<comments>https://gigaom.com/2014/10/31/in-the-name-of-accuracy-google-retools-its-flu-trends-model/#comments</comments>
		<pubDate>Fri, 31 Oct 2014 17:23:10 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Google Flu Trends]]></category>
		<category><![CDATA[predictive models]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=885359</guid>
		<description><![CDATA[Google has responded to criticisms over its Flu Trends tool and has reworked its predictive model to also account for data from the Centers for for Disease Control and Prevention. It's&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/31/in-the-name-of-accuracy-google-retools-its-flu-trends-model/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Another professor has modeled Facebook&#8217;s future, and this one says it will be just fine</title>
		<link>https://gigaom.com/2014/02/04/another-professor-has-modeled-facebooks-future-and-this-one-says-it-will-be-just-fine/</link>
		<comments>https://gigaom.com/2014/02/04/another-professor-has-modeled-facebooks-future-and-this-one-says-it-will-be-just-fine/#comments</comments>
		<pubDate>Tue, 04 Feb 2014 17:24:32 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Academia]]></category>
		<category><![CDATA[predictive models]]></category>
		<category><![CDATA[research paper]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:FB]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=813736</guid>
		<description><![CDATA[A new research paper out of Carnegie Mellon University suggests that Facebook, LinkedIn, Netflix and other membership-based websites will see steady activity in daily active users while others will flounder. How&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/02/04/another-professor-has-modeled-facebooks-future-and-this-one-says-it-will-be-just-fine/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>eBay buys Decide.com; co-founder Etzioni heading up AI institute</title>
		<link>https://gigaom.com/2013/09/06/ebay-buys-decide-com-co-founder-etzioni-heading-up-ai-institute/</link>
		<comments>https://gigaom.com/2013/09/06/ebay-buys-decide-com-co-founder-etzioni-heading-up-ai-institute/#comments</comments>
		<pubDate>Fri, 06 Sep 2013 17:02:47 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[Decide.com]]></category>
		<category><![CDATA[predictive analytics]]></category>
		<category><![CDATA[predictive models]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:EBAY]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=687674</guid>
		<description><![CDATA[eBay has acquired Seattle-based price-prediction startup Decide.com, and the service will shut down on Sept. 30. The entire team will head over to eBay to help the e-commerce giant improve its&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/09/06/ebay-buys-decide-com-co-founder-etzioni-heading-up-ai-institute/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>This is interesting: A fraud-detection company built on Google&#8217;s Prediction API</title>
		<link>https://gigaom.com/2013/07/31/this-is-interesting-a-fraud-detection-company-built-on-googles-prediction-api/</link>
		<comments>https://gigaom.com/2013/07/31/this-is-interesting-a-fraud-detection-company-built-on-googles-prediction-api/#comments</comments>
		<pubDate>Wed, 31 Jul 2013 16:50:26 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Google Prediction API]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[predictive models]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=673970</guid>
		<description><![CDATA[A startup called Pondera Solutions has built an entire business based on utilizing Google's suite of services -- its Prediction API most prominently -- to power an offering it calls Fraud&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/07/31/this-is-interesting-a-fraud-detection-company-built-on-googles-prediction-api/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>At Netflix, big data can affect even the littlest things</title>
		<link>https://gigaom.com/2013/07/25/at-netflix-big-data-can-affect-even-the-littlest-things/</link>
		<comments>https://gigaom.com/2013/07/25/at-netflix-big-data-can-affect-even-the-littlest-things/#comments</comments>
		<pubDate>Thu, 25 Jul 2013 12:30:47 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[predictive algorithms]]></category>
		<category><![CDATA[predictive analytics]]></category>
		<category><![CDATA[predictive models]]></category>
		<category><![CDATA[streaming television]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:NFLX]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:NFLX]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=671232</guid>
		<description><![CDATA[There has been a lot of talk about data after the success of "Orange is the New Black" on Netflix, but as the content competition picks up in streaming TV, it&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/07/25/at-netflix-big-data-can-affect-even-the-littlest-things/feed/</wfw:commentRss>
		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>Airbnb calculates who gets and gives the best reviews (and young hosts don&#8217;t look good)</title>
		<link>https://gigaom.com/2013/07/22/airbnb-calculates-who-gets-and-gives-the-best-reviews-and-young-hosts-dont-look-good/</link>
		<comments>https://gigaom.com/2013/07/22/airbnb-calculates-who-gets-and-gives-the-best-reviews-and-young-hosts-dont-look-good/#comments</comments>
		<pubDate>Mon, 22 Jul 2013 17:59:55 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Data Darwinism]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[predictive models]]></category>
		<category><![CDATA[sharing economy]]></category>
		<category><![CDATA[Social & Web]]></category>
		<category><![CDATA[statistics]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=670118</guid>
		<description><![CDATA[Airbnb recently analyzed its reviews to to find out what cities are the most hospitable and what guest-and-host characteristics tend to influence positive reviews. Should Airbnb users care?]]></description>
		<wfw:commentRss>https://gigaom.com/2013/07/22/airbnb-calculates-who-gets-and-gives-the-best-reviews-and-young-hosts-dont-look-good/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>How MailChimp learned to treat data like orange juice and rethink email in the process</title>
		<link>https://gigaom.com/2013/05/05/how-mailchimp-learned-to-treat-data-like-orange-juice-and-rethink-email-in-the-process/</link>
		<comments>https://gigaom.com/2013/05/05/how-mailchimp-learned-to-treat-data-like-orange-juice-and-rethink-email-in-the-process/#comments</comments>
		<pubDate>Sun, 05 May 2013 23:09:53 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[clustering]]></category>
		<category><![CDATA[email marketing]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[predictive models]]></category>
		<category><![CDATA[semantic analysis]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=642316</guid>
		<description><![CDATA[MailChimp wasn't always a big data company, but 12 years into its existence the company is using its mountains of email data to do everything from modeling spam to connecting subscribers.]]></description>
		<wfw:commentRss>https://gigaom.com/2013/05/05/how-mailchimp-learned-to-treat-data-like-orange-juice-and-rethink-email-in-the-process/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Data doesn&#8217;t play politics &#8212; and most of it suggests Obama will win</title>
		<link>https://gigaom.com/2012/11/05/data-doesnt-play-politics-and-most-of-it-suggests-obama-will-win/</link>
		<comments>https://gigaom.com/2012/11/05/data-doesnt-play-politics-and-most-of-it-suggests-obama-will-win/#comments</comments>
		<pubDate>Mon, 05 Nov 2012 20:24:32 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[election 2012]]></category>
		<category><![CDATA[Politics]]></category>
		<category><![CDATA[predictive models]]></category>
		<category><![CDATA[statistics]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=580785</guid>
		<description><![CDATA[It's one day before the presidential election, and the results from computer models and other data analyses are in, with most experts giving President Obama a higher probability of winning than&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2012/11/05/data-doesnt-play-politics-and-most-of-it-suggests-obama-will-win/feed/</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>EMC buys big-data-plus-security startup Silver Tail</title>
		<link>https://gigaom.com/2012/10/30/emc-buys-big-data-plus-security-startup-silver-tail/</link>
		<comments>https://gigaom.com/2012/10/30/emc-buys-big-data-plus-security-startup-silver-tail/#comments</comments>
		<pubDate>Tue, 30 Oct 2012 16:58:00 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[predictive models]]></category>
		<category><![CDATA[security]]></category>
		<category><![CDATA[Silver Tail Systems]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:EMC]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=578670</guid>
		<description><![CDATA[EMC (s emc) is beefing up its RSA security division with the planned acquisition of big-data-focused startup Silver Tail Systems. The company's software detects malicious activity by monitoring and analyzing site&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2012/10/30/emc-buys-big-data-plus-security-startup-silver-tail/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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