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    <title>DataTau</title>
    <dc:date>2013-12-13T15:03:08+00:00</dc:date>
    <link>http://www.datatau.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[More things to read?]]></description>
<dc:subject>data datamining hackernews news</dc:subject>
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    <title>Mining of Massive Datasets</title>
    <dc:date>2012-08-12T01:41:19+00:00</dc:date>
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    <title>Driving down the cost of Big-Data analytics - All Things Distributed</title>
    <dc:date>2011-09-23T14:43:01+00:00</dc:date>
    <link>http://www.allthingsdistributed.com/2011/08/amazon-emr-on-ec2-spot-instances.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud."]]></description>
<dc:subject>analytics aws bigdata data datamining</dc:subject>
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    <title>nathanmarz/storm - GitHub</title>
    <dc:date>2011-09-23T14:00:06+00:00</dc:date>
    <link>https://github.com/nathanmarz/storm</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Processing kit from Backtype.]]></description>
<dc:subject>data datamining processing twitter</dc:subject>
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    <title>Mining of Massive Datasets</title>
    <dc:date>2011-09-19T13:29:47+00:00</dc:date>
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    <dc:creator>mcroydon</dc:creator><description><![CDATA[Looks like a fantastic book on data mining.]]></description>
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    <dc:creator>mcroydon</dc:creator><description><![CDATA[A Python NLP package with emphasis on retrieving and analyzing language found on the web.]]></description>
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]]></description>
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    <title>NLP Challenge: Find semantically related terms over a large vocabulary (&gt;1M)? – MetaOptimize</title>
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]]></description>
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<item rdf:about="http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html">
    <title>Machine Learning textbook slides</title>
    <dc:date>2010-11-01T17:06:03+00:00</dc:date>
    <link>http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Great slides as companion to the book and classes built around it.
]]></description>
<dc:subject>classifier ai artificial-intelligence bayesian book books intelligence datamining courses machine computer class learning lectures machine-learning machinelearning tutorial science slides resources reference ml mitchell</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:b6465c8c2244/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:classifier"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bayesian"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:courses"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:class"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:lectures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:slides"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:resources"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mitchell"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www4.wiwiss.fu-berlin.de/bizer/silk/">
    <title>Silk - A Link Discovery Framework for the Web of Data</title>
    <dc:date>2010-10-25T03:01:12+00:00</dc:date>
    <link>http://www4.wiwiss.fu-berlin.de/bizer/silk/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["The Silk framework is a tool for discovering relationships between data items within different Linked Data sources.  Data publishers can use Silk to set RDF links from their data sources to other data sources on the Web."
]]></description>
<dc:subject>app code applications data datamining framework library owl linking lod opensource linkeddata linked-data programming python rdf semantic semantic-web web tools tool sparql software semweb semanticweb silk</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:deb70a2e4f3c/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:applications"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:framework"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:owl"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:linking"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:lod"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:linkeddata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:linked-data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:rdf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semantic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semantic-web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tool"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:sparql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semanticweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:silk"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://dbpedia.org/About">
    <title>wiki.dbpedia.org : About</title>
    <dc:date>2010-10-25T02:44:24+00:00</dc:date>
    <link>http://dbpedia.org/About</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Quite a lot of things in the linked open data universe point to dbpedia.
]]></description>
<dc:subject>analysis data api database datamining datasets db free opensource ontology mashup knowledge information programming rdf reference search semantic semantic-web web2.0 web tools sparql semanticweb semantic_web wiki wikipedia xml dbpedia</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:8d71968ddf89/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datasets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:free"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mashup"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:information"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:rdf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semantic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semantic-web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web2.0"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:sparql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semanticweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semantic_web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:wiki"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:wikipedia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:xml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dbpedia"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ai-depot.com/articles/the-easy-way-to-extract-useful-text-from-arbitrary-html/">
    <title>The Easy Way to Extract Useful Text from Arbitrary HTML - AI Depot</title>
    <dc:date>2010-09-21T15:16:30+00:00</dc:date>
    <link>http://ai-depot.com/articles/the-easy-way-to-extract-useful-text-from-arbitrary-html/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>algorithms content ai code crawler data datamining extract math machinelearning machine learning extraction html mining network parser parsing programming python scraping web useful tutorial tools textmining text-mining statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:80ae0565fe67/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:content"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:crawler"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:extract"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:extraction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:html"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:network"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:parser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:parsing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scraping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:useful"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:textmining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:text-mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.spatial.cs.umn.edu/sdm.html">
    <title>A Tutorial on Spatial Data Mining</title>
    <dc:date>2010-03-29T17:57:03+00:00</dc:date>
    <link>http://www.spatial.cs.umn.edu/sdm.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>course data-mining data datamining gis matlab mining tutorial spatial references via:pskomoroch</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1db18067777c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:course"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data-mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:gis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:matlab"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:spatial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:references"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:via:pskomoroch"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://gephi.org/">
    <title>Gephi, graph exploration and manipulation software</title>
    <dc:date>2010-03-25T15:51:00+00:00</dc:date>
    <link>http://gephi.org/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Quite beautiful.
]]></description>
<dc:subject>3d analysis animation cartographie cartography data graphviz graphs graphics datavisualization graph datamining infographics infovis infoviz java maps network networks socialnetworks socialnetwork socialgraph sna opensource software tools tool visualisation visualization gephi</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:3d76f7eba156/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:3d"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:animation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cartographie"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cartography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graphviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graphics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datavisualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:infographics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:infovis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:infoviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:network"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:socialnetworks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:socialnetwork"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:socialgraph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:sna"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tool"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualisation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:gephi"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.umiacs.umd.edu/~jimmylin/book.html">
    <title>Data-Intensive Text Processing with MapReduce</title>
    <dc:date>2010-02-23T17:10:37+00:00</dc:date>
    <link>http://www.umiacs.umd.edu/~jimmylin/book.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[I flipped through this during the conference and need to read through it more thoroughly.
]]></description>
<dc:subject>programming design data reference book free books geek pdf text hadoop distributed online algorithm algorithms mapreduce datamining to-read ebooks nlp ir textmining distributedcomputing text-mining developers draft</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:751b6d5ad729/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:free"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:geek"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pdf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:text"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:online"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:to-read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ebooks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:textmining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributedcomputing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:text-mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:developers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:draft"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://pindancing.blogspot.com/2010/01/learning-about-machine-learniing.html">
    <title>Pin Dancing: Learning about Machine Learning</title>
    <dc:date>2010-01-18T15:16:06+00:00</dc:date>
    <link>http://pindancing.blogspot.com/2010/01/learning-about-machine-learniing.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Big book list recommendation / study order (part 2).
]]></description>
<dc:subject>programming data book books computer science statistics math learning ai list ebook datamining machinelearning machine-learning to-read academic mix hackernews lists machine_learning ml mathematics ebooks</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:30e74228d040/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:list"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:to-read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mix"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hackernews"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:lists"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ebooks"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://measuringmeasures.blogspot.com/2010/01/learning-about-statistical-learning.html">
    <title>Measuring Measures: Learning About Statistical Learning</title>
    <dc:date>2010-01-18T15:15:09+00:00</dc:date>
    <link>http://measuringmeasures.blogspot.com/2010/01/learning-about-statistical-learning.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Big list of book recommendations / study order (part 1).
]]></description>
<dc:subject>programming data reference toread tutorial research book books statistics math education ai learning list cs datamining stats machinelearning analytics probability machine.learning courses machine_learning ml mathematics machine-learning statistical statistical_learning intro suggestions</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d8a38ea57fdb/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:math"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:list"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:stats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:probability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine.learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:courses"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistical"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistical_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:intro"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:suggestions"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://code.google.com/p/sbff/">
    <title>sbff - Project Hosting on Google Code</title>
    <dc:date>2009-12-16T13:56:56+00:00</dc:date>
    <link>http://code.google.com/p/sbff/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Takes the brute force approach but it'll be interesting to see what this comes up with.
]]></description>
<dc:subject>web software database opensource api java search computing social datamining del.icio.us recommendations socialmedia delicious script filtering collaborative users bookmarks bookmarking experiments friend similar</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:53282e5424d6/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:social"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:del.icio.us"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recommendations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:socialmedia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:delicious"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:script"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:filtering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:users"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bookmarks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bookmarking"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:experiments"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:friend"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:similar"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/software/cluster/software.htm">
    <title>Open source Clustering software</title>
    <dc:date>2009-12-11T20:18:49+00:00</dc:date>
    <link>http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/software/cluster/software.htm</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Including PyCluster, a Python interface to several of the C-based clustering algorithms.
]]></description>
<dc:subject>python programming software linux code tools library opensource free java research science statistics license:PSF algorithm algorithms math ai cluster analysis open kmeans data_mining bioinformatics c++ perl c machinelearning source datamining clustering</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:240af1606b7b/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:linux"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:free"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:license:PSF"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:math"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cluster"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:open"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:kmeans"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data_mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bioinformatics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:perl"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:c"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:source"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:clustering"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://elefant.developer.nicta.com.au/">
    <title>Welcome to Elefant — Elefant</title>
    <dc:date>2009-11-25T03:22:14+00:00</dc:date>
    <link>http://elefant.developer.nicta.com.au/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["Elefant (Efficient Learning, Large-scale Inference, and Optimisation Toolkit) is an open source library for machine learning licensed under the Mozilla Public License"
]]></description>
<dc:subject>python programming open-source software code tools library opensource research computer math ai app datamining learning gui optimization machinelearning check scipy machine.learning toolkit ml frameworks c++ machine-learning nicta scipy2007</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:9193596fa6d8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:open-source"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:app"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:gui"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:check"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scipy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine.learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toolkit"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:frameworks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nicta"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scipy2007"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://fora.tv/2009/10/14/ACM_Data_Mining_SIG_Ted_Dunning">
    <title>FORA.tv - ACM Data Mining SIG: Ted Dunning</title>
    <dc:date>2009-11-23T14:03:04+00:00</dc:date>
    <link>http://fora.tv/2009/10/14/ACM_Data_Mining_SIG_Ted_Dunning</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Data mining Q&A.
]]></description>
<dc:subject>video datamining machinelearning ir towatch recommendations talk</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:2b1d1f2c1dd9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:video"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:towatch"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recommendations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:talk"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cloudera.com/hadoop-data-intensive-application-tutorial">
    <title>Building a Data Intensive Web Application with Cloudera, Hadoop, Hive, Pig, and EC2 | Cloudera</title>
    <dc:date>2009-11-19T16:42:58+00:00</dc:date>
    <link>http://www.cloudera.com/hadoop-data-intensive-application-tutorial</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A nice look at end-to-end data analysis of big datasets using things like Pig and Hive.
]]></description>
<dc:subject>programming web data database tools webdev business toread howto tutorial amazon dev scalability hadoop architecture aws computing cluster ec2 pig trends hive cloudera cloudcomputing analytics datamining mapreduce cloud application</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:6affcd635d71/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:webdev"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:business"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dev"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scalability"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cluster"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ec2"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pig"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:trends"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hive"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloudera"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloudcomputing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:application"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://glinden.blogspot.com/2009/11/using-only-experts-for-recommendations.html">
    <title>Geeking with Greg: Using only experts for recommendations</title>
    <dc:date>2009-11-14T18:19:03+00:00</dc:date>
    <link>http://glinden.blogspot.com/2009/11/using-only-experts-for-recommendations.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Listen to the experts?
]]></description>
<dc:subject>toread research music social community datamining papers recommendations filtering recommendation reviews opinion collaborative_filtering</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:94ffc6b0f21e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:social"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recommendations"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opinion"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:collaborative_filtering"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.slideshare.net/kevinweil/hadoop-pig-and-twitter-nosql-east-2009">
    <title>Hadoop, Pig, and Twitter (NoSQL East 2009)</title>
    <dc:date>2009-11-04T15:18:22+00:00</dc:date>
    <link>http://www.slideshare.net/kevinweil/hadoop-pig-and-twitter-nosql-east-2009</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[An awesome deck showing of Pig and how Twitter uses it.
]]></description>
<dc:subject>programming data database howto server dev search statistics hadoop presentation mapreduce datamining twitter analytics slides presentations nosql bigdata socialnetworks slideshare hdfs pig big functional data_mining</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ca5b09a21ac8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:server"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dev"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:presentation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:slides"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:presentations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:socialnetworks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:slideshare"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hdfs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pig"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:big"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:functional"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data_mining"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.waikato.ac.nz/~abifet/MOA/">
    <title>MOA - Massive Online Analysis</title>
    <dc:date>2009-11-04T14:00:35+00:00</dc:date>
    <link>http://www.cs.waikato.ac.nz/~abifet/MOA/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Kinda want to know more.
]]></description>
<dc:subject>programming software development java tools data distributed framework analysis hadoop ai streaming datamining machinelearning frameworks stream mining ir data-mining ml bigdata data_mining regression weka dataflow moa</dc:subject>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:resources"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ec2"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:sparklines"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:rubyonrails"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:trends"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hive"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloudera"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:log"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:t"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:trendingtopics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://charuaggarwal.net/">
    <title>Charu Aggarwal</title>
    <dc:date>2009-08-03T15:34:56+00:00</dc:date>
    <link>http://charuaggarwal.net/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Some pretty hefty thoughts on data mining and ML stuffs.
]]></description>
<dc:subject>data database research books algorithms management db datamining academic ibm papers mining people lists data-mining data_mining privacy</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:6d5134a7591f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:management"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:papers"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:lists"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data-mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data_mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:privacy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://hunch.net/~vw/">
    <title>Vowpal Wabbit (Fast Online Learning)</title>
    <dc:date>2009-08-03T15:19:37+00:00</dc:date>
    <link>http://hunch.net/~vw/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["This is a project at Yahoo! Research to design a fast, scalable, useful learning algorithm."
]]></description>
<dc:subject>programming software code tools library opensource research dev algorithms statistics algorithm computing online ai learning yahoo compsci tool datamining data_mining artificialintelligence lib machine_learning nlp ml machine-learning machinelearning online_learning sgd</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:24ab77732917/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data_mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificialintelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:lib"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:online_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:sgd"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.kernel-machines.org/">
    <title>Kernel-Machines.Org — Kernel Machines</title>
    <dc:date>2009-08-03T15:18:18+00:00</dc:date>
    <link>http://www.kernel-machines.org/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["This page is devoted to learning methods building on kernels, such as the support vector machine."
]]></description>
<dc:subject>programming software reference tutorial research science statistics algorithms algorithm ai math learning clustering cs resources datamining machinelearning svm machine_learning mathematics ml classification papers kernel machine academic machine-learning kernel-machines kernels pattern_recognition</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:7f57f7306971/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cs"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:papers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:kernel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:kernel-machines"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:kernels"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pattern_recognition"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.clopinet.com/isabelle/Projects/SVM/applist.html">
    <title>SVM Application List</title>
    <dc:date>2009-08-03T15:17:32+00:00</dc:date>
    <link>http://www.clopinet.com/isabelle/Projects/SVM/applist.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>research software algorithms coding algorithm ai learning application list cs c++ datamining machinelearning machine-learning machine prediction svm</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:c22377a08bc2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:coding"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:application"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:list"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:svm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://glinden.blogspot.com/2009/07/time-effects-in-recommendations.html">
    <title>Geeking with Greg: Time effects in recommendations</title>
    <dc:date>2009-07-27T15:59:08+00:00</dc:date>
    <link>http://glinden.blogspot.com/2009/07/time-effects-in-recommendations.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Temporal effects.
]]></description>
<dc:subject>time paper review datamining netflix recommendations recommendation data_mining personalization recommender</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:16b935ba46b9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:time"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:paper"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:review"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:netflix"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recommendations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recommendation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data_mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:personalization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recommender"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://themachinelearningforum.org/">
    <title>Welcome to The Machine Learning Forum</title>
    <dc:date>2009-07-10T15:34:09+00:00</dc:date>
    <link>http://themachinelearningforum.org/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[This is worth keeping an eye on if it takes off.
]]></description>
<dc:subject>web data research community math review cs datamining machinelearning machine-learning mathematics mining machine_learning ml vision data-mining forum discussion</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d03b019e777f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:community"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:review"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mining"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data-mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:forum"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:discussion"/>
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</item>
<item rdf:about="http://www.seas.harvard.edu/courses/cs171/">
    <title>CS171</title>
    <dc:date>2009-06-23T18:21:38+00:00</dc:date>
    <link>http://www.seas.harvard.edu/courses/cs171/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Data visualization class at Harvard.
]]></description>
<dc:subject>programming design development data reference video tutorial toread visualization research free graphics science statistics education math learning datamining academic course lectures processing visualisation lecture courses class classes infovis harvard processing.org</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:3dc6fb7e6a79/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:development"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:video"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:free"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:processing"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:lecture"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:infovis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:harvard"/>
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</item>
<item rdf:about="http://balie.sourceforge.net/">
    <title>Balie - Baseline Information Extraction</title>
    <dc:date>2009-06-23T18:08:46+00:00</dc:date>
    <link>http://balie.sourceforge.net/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Interesting machine learning/information extraction stuff.
]]></description>
<dc:subject>programming software tools library java research opensource language information ai datamining machinelearning machine-learning linguistics textmining nlp machine_learning semantic semanticweb extraction ie information_extraction information_retrieval uima ner entity weka balie named namedentityrecognition</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:525fd58c474a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:java"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:information"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:textmining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semantic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semanticweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:extraction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ie"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:information_extraction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:information_retrieval"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:uima"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ner"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:entity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:weka"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:balie"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:named"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:namedentityrecognition"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://flowingdata.com/2009/06/04/rise-of-the-data-scientist/">
    <title>Rise of the Data Scientist | FlowingData</title>
    <dc:date>2009-06-23T17:37:58+00:00</dc:date>
    <link>http://flowingdata.com/2009/06/04/rise-of-the-data-scientist/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Indeed.
]]></description>
<dc:subject>web design data journalism business toread science visualization research statistics education article future jobs datamining computerscience visualisation career mathematics data-mining flowingdata freelancing halvarian skills scientist bigdata datascientist analytics</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:57e2b3c13548/</dc:identifier>
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</item>
<item rdf:about="http://sdm.lbl.gov/fastbit/">
    <title>FastBit: An Efficient Compressed Bitmap Index Technology</title>
    <dc:date>2009-05-01T19:38:55+00:00</dc:date>
    <link>http://sdm.lbl.gov/fastbit/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[What it says on the tin.
]]></description>
<dc:subject>programming software database data research library opensource search datamining grid db compression indexing index hashing bit algo data-mining compress fastbit olap bitmap multidimensional columndb</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:fb1e68034014/</dc:identifier>
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</item>
<item rdf:about="http://www.greenplum.com/">
    <title>Greenplum: the petabyte-scale database for data warehousing and business intelligence.</title>
    <dc:date>2009-05-01T13:16:45+00:00</dc:date>
    <link>http://www.greenplum.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Petabyte data mining and data warehousing.
]]></description>
<dc:subject>programming software development data database business technology opensource storage scalability performance cluster postgresql startup open postgres sql mapreduce datamining db analytics oss reporting rdbms intelligence bi businessintelligence datawarehouse greenplum bizgres</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:97d792e18079/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:oss"/>
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</item>
<item rdf:about="http://www.unixuser.org/~euske/python/pdfminer/">
    <title>PDFMiner</title>
    <dc:date>2009-04-23T15:35:31+00:00</dc:date>
    <link>http://www.unixuser.org/~euske/python/pdfminer/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Extract that info!
]]></description>
<dc:subject>python programming software tools data library free api opensource xml pdf html text analysis utilities conversion datamining parsing useful tool convert parser analytics mining parse extraction scraping extract pdfminer analyser</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:fc706dfd9611/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:free"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:xml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pdf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:html"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:text"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:utilities"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:conversion"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:parsing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:useful"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tool"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:convert"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:parser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:parse"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:extraction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scraping"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pdfminer"/>
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</item>
<item rdf:about="http://seat.massey.ac.nz/personal/s.r.marsland/MLBook.html">
    <title>Stephen Marsland</title>
    <dc:date>2009-04-20T01:29:28+00:00</dc:date>
    <link>http://seat.massey.ac.nz/personal/s.r.marsland/MLBook.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Machine learning + Python.  !!!
]]></description>
<dc:subject>python programming software data reference code book books algorithms todo algorithm analysis information ai learning resources cs datamining machine academic machine-learning machinelearning ml examples numpy artificialintelligence scipy computer_science machine.learning e-books</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:9853d13add54/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:todo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:information"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:resources"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:examples"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:numpy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificialintelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scipy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine.learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:e-books"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://github.com/lucasjosh/collectiverb/tree/master">
    <title>lucasjosh's collectiverb at master - GitHub</title>
    <dc:date>2009-03-19T04:28:26+00:00</dc:date>
    <link>http://github.com/lucasjosh/collectiverb/tree/master</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Algorithms from PCI translated to Ruby.
]]></description>
<dc:subject>programming ruby datamining</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:527296f51044/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ruby"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://berkeley-mltea.pbwiki.com/Hadoop-for-Machine-Learning-Guide">
    <title>UC Berkeley Machine Learning Tea / Hadoop for Machine Learning Guide</title>
    <dc:date>2009-03-15T18:30:31+00:00</dc:date>
    <link>http://berkeley-mltea.pbwiki.com/Hadoop-for-Machine-Learning-Guide</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Nice and simple example of ML in Java with Hadoop from the Berkeley ML tea.
]]></description>
<dc:subject>research hadoop mapreduce datamining machinelearning machine_learning regression</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:794b77cb6a31/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:regression"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.engr.uvic.ca/~seng474/">
    <title>Seng 474 - Spring2009, Course Outline, Alex Thomo</title>
    <dc:date>2009-03-11T04:15:11+00:00</dc:date>
    <link>http://www.engr.uvic.ca/~seng474/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[I love the smell of data mining in the spring.
]]></description>
<dc:subject>python code mapreduce slides datamining lectures machinelearning course</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:14fb902b4520/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.directededge.com/2009/02/27/on-building-a-stupidly-fast-graph-database/">
    <title>Directed Edge News » Blog Archive » On Building a Stupidly Fast Graph Database</title>
    <dc:date>2009-02-27T22:04:28+00:00</dc:date>
    <link>http://blog.directededge.com/2009/02/27/on-building-a-stupidly-fast-graph-database/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Wow.
]]></description>
<dc:subject>programming design database visualization blog research algorithms scalability algorithm performance scaling coding engineering graph databases cs graphs recommendations memory scale mathematics datamining db hashing concurrency notes</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e3e1b4cc7cc8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graph"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recommendations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:memory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scale"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mathematics"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hashing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:concurrency"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://aws.typepad.com/aws/2009/02/new-aws-public-data-sets-economics-dbpedia-freebase-and-wikipedia.html">
    <title>Amazon Web Services Blog: New AWS Public Data Sets - Economics, DBpedia, Freebase, and Wikipedia</title>
    <dc:date>2009-02-25T12:42:32+00:00</dc:date>
    <link>http://aws.typepad.com/aws/2009/02/new-aws-public-data-sets-economics-dbpedia-freebase-and-wikipedia.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Lots of hot new data.
]]></description>
<dc:subject>programming data blog amazon research wikipedia statistics aws compsci ec2 resources transportation cloud datamining nlp dataset cloudcomputing corpus datasets freebase gov publicdata scraping encyclopedia</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ba37e91fca89/</dc:identifier>
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<item rdf:about="http://www.omninerd.com/articles/Automating_Data_Visualization_with_Ruby_and_Graphviz">
    <title>Automating Data Visualization with Ruby and Graphviz - OmniNerd</title>
    <dc:date>2009-02-14T10:31:36+00:00</dc:date>
    <link>http://www.omninerd.com/articles/Automating_Data_Visualization_with_Ruby_and_Graphviz</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Yay Graphiz!
]]></description>
<dc:subject>programming data howto tutorial ruby visualization rails graphics network statistics math charts chart graph databases graphs tutorials article datamining reporting visualisation diagram networks graphviz scripts graphing data-visualization dot datavisualization erp</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:dccfbc2665fa/</dc:identifier>
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<item rdf:about="http://norvig.com/ibol.html">
    <title>An Exercise in Species Barcoding</title>
    <dc:date>2009-02-12T17:51:06+00:00</dc:date>
    <link>http://norvig.com/ibol.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Fantastic read, as always.
]]></description>
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<item rdf:about="http://www.manning.com/ingersoll/">
    <title>Manning: Taming Text</title>
    <dc:date>2009-02-10T04:02:43+00:00</dc:date>
    <link>http://www.manning.com/ingersoll/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Want!
]]></description>
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<dc:identifier>https://pinboard.in/u:mcroydon/b:fd5baf25bc81/</dc:identifier>
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<item rdf:about="http://pyml.sourceforge.net/">
    <title>PyML</title>
    <dc:date>2009-01-26T12:39:28+00:00</dc:date>
    <link>http://pyml.sourceforge.net/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A machine learning library for Python.  LGPL.
]]></description>
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<item rdf:about="http://www.mysqlperformanceblog.com/2008/12/22/high-performance-click-analysis-with-mysql/">
    <title>High-Performance Click Analysis with MySQL | MySQL Performance Blog</title>
    <dc:date>2009-01-02T03:53:55+00:00</dc:date>
    <link>http://www.mysqlperformanceblog.com/2008/12/22/high-performance-click-analysis-with-mysql/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Good thoughts on write-heavy systems.  A lot of it applies outside the MySQL ecosystem.
]]></description>
<dc:subject>design web data database blog statistics storage scalability analysis scaling performance stats mysql optimization hadoop sql tracking ad article analytics datamining english reporting db sharding seo warehouse click lesen realtime datawarehouse</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:40b28d85e491/</dc:identifier>
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<item rdf:about="http://www.obitko.com/tutorials/genetic-algorithms/index.php">
    <title>Main page - Introduction to Genetic Algorithms - Tutorial with Interactive Java Applets</title>
    <dc:date>2008-12-20T20:42:07+00:00</dc:date>
    <link>http://www.obitko.com/tutorials/genetic-algorithms/index.php</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Genetic programming in Python.
]]></description>
<dc:subject>programming development reference tutorial java book books algorithm algorithms architecture analysis computerscience ai datamining dna ga genetic geneticalgorithms genetics geneticprogramming genetic_algorithm alife complexity genetic_algorithms math.optimization</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e908d4cc633d/</dc:identifier>
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<item rdf:about="http://www.csie.ntu.edu.tw/~cjlin/liblinear/">
    <title>LIBLINEAR -- A Library for Large Linear Classification</title>
    <dc:date>2008-12-07T20:56:37+00:00</dc:date>
    <link>http://www.csie.ntu.edu.tw/~cjlin/liblinear/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM."
]]></description>
<dc:subject>programming software library statistics math opensource clustering download c ai classification datamining matlab machinelearning machine-learning machine_learning uni svm liblinear ml</dc:subject>
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<item rdf:about="http://nltk.sourceforge.net/index.php/Main_Page">
    <title>Main Page - NLTK</title>
    <dc:date>2008-10-10T20:42:10+00:00</dc:date>
    <link>http://nltk.sourceforge.net/index.php/Main_Page</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[I feel like I've been down this road before.
]]></description>
<dc:subject>python programming development software reference code library tools book api books science computer research algorithms language freeware text toolkit natural textmining nlp languages datamining processing linguistics nltk opensource ai wordnet</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e47e0c2cd290/</dc:identifier>
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<item rdf:about="http://gate.ac.uk/">
    <title>GATE, A General Architecture for Text Engineering</title>
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    <link>http://gate.ac.uk/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[The tools.  There they are.
]]></description>
<dc:subject>programming library software tools research java search language architecture information framework text analysis ai opensource linguistics mining tool datamining information_extraction textmining nlp gate semantic text-mining extraction ontology knowledge information-extraction</dc:subject>
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<item rdf:about="http://alias-i.com/lingpipe/">
    <title>LingPipe Home</title>
    <dc:date>2008-10-10T20:24:04+00:00</dc:date>
    <link>http://alias-i.com/lingpipe/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Someday.
]]></description>
<dc:subject>programming software development library code tools java api research free language search framework text analysis clustering opensource ai lucene linguistics parser classification datamining ir nlp textmining entity-extraction lingpipe information_extraction natural</dc:subject>
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</item>
<item rdf:about="http://dataferrett.census.gov/">
    <title>DataFerrett for TheDataWeb</title>
    <dc:date>2008-09-15T16:43:28+00:00</dc:date>
    <link>http://dataferrett.census.gov/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Best mascot evar.
]]></description>
<dc:subject>software data reference database server tools research math search online census market db datamining tool government databases statistics demographics datasets population genealogy gov resource ferrett</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a32651f2b242/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:government"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:databases"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:demographics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datasets"/>
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</item>
<item rdf:about="http://dataninja.wordpress.com/">
    <title>Colophon « Dataninja</title>
    <dc:date>2008-08-28T19:47:49+00:00</dc:date>
    <link>http://dataninja.wordpress.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Worth checking out.  I was hoping to find more dataviz with latex stuff, but that's okay.
]]></description>
<dc:subject>programming software data reference blog osx tutorial tools science research statistics latex analysis text blogs academic analytics tips economy r sas stata datamining methodology</dc:subject>
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