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  <titleInfo>
    <title>Understanding machine learning</title>
    <subTitle>: from theory to algorithms</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Shalev-Shwartz, Shai  Shai Ben-David</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Cambridge University Press</publisher>
    <dateIssued>2018</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent> xvi, 397 p. : ill. ; 26 cm.</extent>
  </physicalDescription>
  <note>Includes bibliographical references index.</note>
  <subject>
    <topic>Machine learning Computer science</topic>
    <topic>Nonuniform learnability</topic>
    <topic>computational methods</topic>
    <topic>Computer algorithms</topic>
    <topic>Linear predictors</topic>
    <topic>GGC</topic>
    <topic>FC</topic>
  </subject>
  <classification authority="ddc">006.31 SHA</classification>
  <identifier type="isbn">9781107057135 (hb)</identifier>
  <recordInfo/>
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