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    <title>Randomness and Fraud - Airbnb Engineering</title>
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    <title>Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?</title>
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<item rdf:about="http://markus.com/deep-learning-101/">
    <title>Deep Learning 101</title>
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    <link>http://markus.com/deep-learning-101/</link>
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    <title>Hacker's guide to Neural Networks</title>
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<item rdf:about="http://io9.com/stop-turning-me-into-bad-data-1638298899">
    <title>Stop Turning Me Into Bad Data</title>
    <dc:date>2014-09-24T04:08:03+00:00</dc:date>
    <link>http://io9.com/stop-turning-me-into-bad-data-1638298899</link>
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<item rdf:about="http://www.cs.colorado.edu/~martin/slp2.html">
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    <link>http://www.cs.colorado.edu/~martin/slp2.html</link>
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<item rdf:about="http://nlp.stanford.edu/IR-book/">
    <title>Introduction to Information Retrieval</title>
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<item rdf:about="http://money.cnn.com/2014/08/07/technology/innovationnation/ibm-computer-brain/index.html">
    <title>IBM builds a brain out of computer chips August 07</title>
    <dc:date>2014-08-07T20:01:14+00:00</dc:date>
    <link>http://money.cnn.com/2014/08/07/technology/innovationnation/ibm-computer-brain/index.html</link>
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    <dc:date>2014-07-20T19:38:53+00:00</dc:date>
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    <title>Natural Language Processing for Better SMS</title>
    <dc:date>2014-07-10T03:50:03+00:00</dc:date>
    <link>https://www.twilio.com/blog/2014/06/using-natural-language-processing-for-better-sms-interfaces-using-twilio-and-pythons-textblob.html</link>
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<item rdf:about="http://www.cs.cmu.edu/~tom/10701_sp11/">
    <title>Machine Learning 10-701/15-781 (Spring 2011) - Lectures and Notes</title>
    <dc:date>2014-06-29T04:11:47+00:00</dc:date>
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<item rdf:about="http://trevorstarick.com/twitter-an-untapped-well-of-potential-new-users/">
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    <dc:date>2014-06-29T04:00:16+00:00</dc:date>
    <link>http://trevorstarick.com/twitter-an-untapped-well-of-potential-new-users/</link>
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<item rdf:about="http://gist.neo4j.org/?8173017">
    <title>Movie Recommendations with k-Nearest Neighbors and Cosine Similarity - Neo4j GraphGist</title>
    <dc:date>2014-06-25T01:29:01+00:00</dc:date>
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<item rdf:about="http://inside-bigdata.com/2014/05/23/data-science-101-machine-learning-class-cmu/">
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    <dc:date>2014-06-02T13:13:07+00:00</dc:date>
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    <title>Simple recommendation system written in Ruby</title>
    <dc:date>2014-05-15T22:45:09+00:00</dc:date>
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    <title>This startup says it can find the algorithm that defines your data — Tech News and Analysis</title>
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    <title>Google Books Ngram Datasets</title>
    <dc:date>2014-05-06T20:08:59+00:00</dc:date>
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    <title>Syntactic Ngrams over Time</title>
    <dc:date>2014-05-06T20:08:09+00:00</dc:date>
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