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    <title>topic Re: A Few Useful Things to Know about Machine Learning in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113220#M9281</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;This is a great resource, thank you for sharing this.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 19 Feb 2013 15:08:42 GMT</pubDate>
    <dc:creator>jaredp</dc:creator>
    <dc:date>2013-02-19T15:08:42Z</dc:date>
    <item>
      <title>A Few Useful Things to Know about Machine Learning</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113219#M9280</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;This is a useful article to read for even for novices at machine learning algorithms. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="padding-left: 30px;"&gt;&lt;A href="http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf" title="http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf"&gt;http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf&lt;/A&gt;&lt;/P&gt;&lt;P style="padding-left: 30px;"&gt;&lt;/P&gt;&lt;P&gt;Domingos takes a practical approach to creating machine learning applications by summarizing 12 key lessons. He outlines three components to learning algorithms: Representation, Evaluation and Optimization giving a helpful table of algorithmic techniques corresponding to each component. Although some of his statements seem like plain old common sense, such "Theoretical Guarantees Are Not What They Seem," Domingos presents a lot of data to back it up. Like any good researcher, he also provides an extensive list of sources. Like any good teacher, he also includes places where a student can learn more. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 19 Feb 2013 02:24:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113219#M9280</guid>
      <dc:creator>JuliaM</dc:creator>
      <dc:date>2013-02-19T02:24:52Z</dc:date>
    </item>
    <item>
      <title>Re: A Few Useful Things to Know about Machine Learning</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113220#M9281</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;This is a great resource, thank you for sharing this.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 19 Feb 2013 15:08:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113220#M9281</guid>
      <dc:creator>jaredp</dc:creator>
      <dc:date>2013-02-19T15:08:42Z</dc:date>
    </item>
    <item>
      <title>Re: A Few Useful Things to Know about Machine Learning</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113221#M9282</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The article raises an interesting (for me) question concerning the evaluation phase.&amp;nbsp; If one uses Content Categorization Studio to identify things to look for in trying to classify something, is there a way to use that tool to exclude things that would provide a misleading direction?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 19 Feb 2013 16:55:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113221#M9282</guid>
      <dc:creator>art297</dc:creator>
      <dc:date>2013-02-19T16:55:05Z</dc:date>
    </item>
    <item>
      <title>Re: A Few Useful Things to Know about Machine Learning</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113222#M9283</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The 'UNLESS' and 'NOT' rule operators (in Content Categorization and in Sentiment Analysis) are available to limt matches.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 20 Feb 2013 21:27:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/A-Few-Useful-Things-to-Know-about-Machine-Learning/m-p/113222#M9283</guid>
      <dc:creator>FionaMcNeill</dc:creator>
      <dc:date>2013-02-20T21:27:47Z</dc:date>
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