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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">Chennai</placeTerm>
    </place>
    <publisher>Pearson India Education Services Pvt. Ltd.</publisher>
    <dateIssued>2019</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>428</extent>
  </physicalDescription>
  <note>able of Contents:
1 Introduction to Machine Learning
2 Preparing to Model
3 Modelling and Evaluation
4 Basics of Feature Engineering 
5 Brief Overview of Probability
6 B ayesian Concept Learning
7 Super vised Learning: Classification
8 Super vised Learning: Regression
9 Unsupervised Learning
10 Basics of Neural Network
11 Other Types of Learning</note>
  <subject>
    <topic>Computer Science Engineering</topic>
  </subject>
  <classification authority="ddc">006.31 DUT</classification>
  <identifier type="isbn">978-93-530-6669-7</identifier>
  <identifier type="">Allied Informatics, Jaipur</identifier>
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    <recordCreationDate encoding="marc">181205</recordCreationDate>
    <recordChangeDate encoding="iso8601">20181205124534.0</recordChangeDate>
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      <languageTerm authority="iso639-2b" type="code">English</languageTerm>
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