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    <title>Pinboard (infovore)</title>
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    <description>recent bookmarks from infovore</description>
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      <rdf:Seq>	<rdf:li rdf:resource="http://dataspora.com/blog/the-seven-secrets-of-successful-data-scientists/"/>
	<rdf:li rdf:resource="http://armorydatamine.wordpress.com/2010/07/05/teach-yourself-datamining-in-21-days/"/>
	<rdf:li rdf:resource="http://abeautifulwww.com/2009/10/11/guide-to-getting-started-in-machine-learning/"/>
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  </channel><item rdf:about="http://dataspora.com/blog/the-seven-secrets-of-successful-data-scientists/">
    <title>The Seven Secrets of Successful Data Scientists : Dataspora Blog</title>
    <dc:date>2010-09-03T09:18:24+00:00</dc:date>
    <link>http://dataspora.com/blog/the-seven-secrets-of-successful-data-scientists/</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["...don’t confuse this kind of data exploration, where the goal is to size up the data, with building proper data plumbing, where you want robustness and maintainability. Perl and bash scripts are nice for the former, but can be a nightmare for building data pipelines." Lots of good stuff in this article; this was a highlight.
]]></description>
<dc:subject>bigdata data datamining statistics machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:33d020ec7bef/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:machinelearning"/>
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<item rdf:about="http://armorydatamine.wordpress.com/2010/07/05/teach-yourself-datamining-in-21-days/">
    <title>teach yourself datamining in 21 days « Armory Data Mining</title>
    <dc:date>2010-07-05T12:59:31+00:00</dc:date>
    <link>http://armorydatamine.wordpress.com/2010/07/05/teach-yourself-datamining-in-21-days/</link>
    <dc:creator>infovore</dc:creator><description><![CDATA[Learning datamining, using the WoW Armory as a data set.
]]></description>
<dc:subject>datamining mmo worldofwarcraft statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:49bc6a11f43f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:datamining"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:worldofwarcraft"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:statistics"/>
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<item rdf:about="http://abeautifulwww.com/2009/10/11/guide-to-getting-started-in-machine-learning/">
    <title>Guide to Getting Started in Machine Learning | A Beautiful WWW</title>
    <dc:date>2009-10-20T14:21:45+00:00</dc:date>
    <link>http://abeautifulwww.com/2009/10/11/guide-to-getting-started-in-machine-learning/</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["Someone at work recently asked how he should go about studying machine learning on his own. So I’m putting together a little guide." Ooh, useful. Lots of starting points for machine learning in R.
]]></description>
<dc:subject>r datamining programming machinelearning statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:9908c39e5b0a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:r"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:machinelearning"/>
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<item rdf:about="http://dataspora.com/blog/sexy-data-geeks/">
    <title>The Three Sexy Skills of Data Geeks : Dataspora Blog</title>
    <dc:date>2009-06-05T17:10:48+00:00</dc:date>
    <link>http://dataspora.com/blog/sexy-data-geeks/</link>
    <dc:creator>infovore</dc:creator><description><![CDATA["Statisticians’ sex appeal has little to do with their lascivious leanings ... and more with the scarcity of their skills.  I believe that the folks to whom Hal Varian is referring are not statisticians in the narrow sense, but rather people who possess skills in three key, yet independent areas:  statistics, data munging, and data visualization.  (In parentheses next to each, I’ve put the salient character trait needed to acquire it)."
]]></description>
<dc:subject>data analytics visualization statistics datamining maths analysis trends</dc:subject>
<dc:identifier>https://pinboard.in/u:infovore/b:2f6ee2c92d42/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:infovore/t:data"/>
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