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  <titleInfo>
    <title>Fundamentals of machine learning for predictive data analytics</title>
    <subTitle>algorithms, worked examples, and case studies</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Kelleher, John D.</namePart>
    <namePart type="date">1974-</namePart>
    <role>
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    <role>
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  <name type="personal">
    <namePart>Mac Namee, Brian</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>D'Arcy, Aoife</namePart>
    <namePart type="date">1978-</namePart>
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    <place>
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    <publisher>The MIT Press</publisher>
    <dateIssued>2020</dateIssued>
    <edition>Second edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>liv, 798 pages : illustrations ; 25 cm</extent>
  </physicalDescription>
  <abstract>"A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications"--</abstract>
  <note type="statement of responsibility">John D. Kelleher, Brian MacNamee and Aoife D'Arcy.</note>
  <note>Includes bibliographical references and index.</note>
  <note>CSE ps REF</note>
  <note>Omni concept</note>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Prediction theory</topic>
  </subject>
  <classification authority="ddc" edition="23">519.2870285631 K2917f</classification>
  <identifier type="isbn">9780262044691</identifier>
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