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  <titleInfo>
    <title>Machine learning in Python : essential techniques for predictive analysis</title>
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  <name type="personal">
    <namePart>Bowles, Michael</namePart>
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  <genre authority="">Electronic books.</genre>
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    <dateIssued encoding="marc">2015</dateIssued>
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    <extent>1 online resource : color illustrations</extent>
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  <tableOfContents>The Two Essential Algorithms for Making Predictions -- Understand the Problem by Understanding the Data -- Predictive Model Building: Balancing Performance, Complexity, and Big Data -- Penalized Linear Regression -- Building Predictive Models Using Penalized Linear Methods -- Ensemble Methods -- Building Ensemble Models with Python.</tableOfContents>
  <note type="statement of responsibility">Michael Bowles.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Python (Computer program language)</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS / General</topic>
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  <subject authority="fast">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="fast">
    <topic>Python (Computer program language)</topic>
  </subject>
  <classification authority="lcc">Q325.5</classification>
  <classification authority="ddc" edition="23">006.31</classification>
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  <identifier type="isbn">9781119183600</identifier>
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  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9781119183600</identifier>
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