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  <titleInfo>
    <title>Machine Learning</title>
  </titleInfo>
  <name type="personal">
    <namePart>Dutt, Saikat</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Chandramouli, Subramanian</namePart>
  </name>
  <name type="personal">
    <namePart>Das, Amit Kumar</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Noida</placeTerm>
    </place>
    <publisher>Pearson India Education Services Pvt. Ltd</publisher>
    <dateIssued>2023</dateIssued>
    <edition>1st ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxvii, 428p. ; PB : 23 cm.</extent>
  </physicalDescription>
  <note type="statement of responsibility">By Saikat Dutt, Subramanian Chandramouli and Amit Kumar Das</note>
  <subject>
    <topic>Machine Learning</topic>
  </subject>
  <subject>
    <topic>Preparing to Model</topic>
  </subject>
  <subject>
    <topic>Modelling and Evaluation</topic>
  </subject>
  <subject>
    <topic>Basics of Feature Engineering</topic>
  </subject>
  <subject>
    <topic>Brief Overview of Probability</topic>
  </subject>
  <subject>
    <topic>Bayesian Concept Learning</topic>
  </subject>
  <subject>
    <topic>Supervised Learning:Classification</topic>
  </subject>
  <subject>
    <topic>Supervised Learning : Regression</topic>
  </subject>
  <subject>
    <topic>Unsupervised Learning</topic>
  </subject>
  <subject>
    <topic>Basics of Neural Network</topic>
  </subject>
  <classification authority="ddc" edition="1">006.31 DUTS</classification>
  <identifier type="isbn">9789353066697</identifier>
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    <recordCreationDate encoding="marc">240325</recordCreationDate>
    <recordChangeDate encoding="iso8601">20240325161924.0</recordChangeDate>
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