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  <titleInfo>
    <title>Machine Learning With Python: Principles and Practical Techniques</title>
  </titleInfo>
  <name type="personal">
    <namePart> Bhatia,Parteek</namePart>
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    <place>
      <placeTerm type="text">New Delhi 110025</placeTerm>
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    <publisher>Cambridge University Press &amp; Assessment - Splendor Forum, Jasola District Centre</publisher>
    <dateIssued>2024</dateIssued>
    <dateIssued encoding="marc">9999</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>1096 p.</extent>
  </physicalDescription>
  <subject>
    <topic> and examples have been included in each chapter Advanced topics like Deep Learning</topic>
  </subject>
  <subject>
    <topic> and Recurrent Neural Networks have been covered extensively</topic>
  </subject>
  <subject>
    <topic> assuming no previously existing knowledge GitHub resources that provide access to datasets</topic>
  </subject>
  <subject>
    <topic> Convolutional Neural Networks</topic>
  </subject>
  <subject>
    <topic> sample code</topic>
  </subject>
  <subject>
    <topic>Algorithms are explained in detail with examples with a step-by-step approach to make learning easy and simple</topic>
  </subject>
  <classification authority="ddc">5.133 B787M </classification>
  <identifier type="isbn">9781009170246</identifier>
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