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  <titleInfo>
    <title>Data science concepts and techniques with applications</title>
  </titleInfo>
  <name type="personal">
    <namePart>Usman Qamar</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Muhammad Summair Raza</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Cham</placeTerm>
    </place>
    <publisher>Springer</publisher>
    <dateIssued>2023</dateIssued>
    <dateIssued encoding="marc" point="start">2023</dateIssued>
    <dateIssued encoding="marc" point="end">2020</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>xxiv, 474 p.</extent>
  </physicalDescription>
  <abstract>This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science.</abstract>
  <note type="statement of responsibility">Usman Qamar and Muhammad Summair Raza</note>
  <note>Eng</note>
  <subject>
    <topic>Data science</topic>
  </subject>
  <subject>
    <topic>Big data</topic>
  </subject>
  <subject>
    <topic>Data mining</topic>
  </subject>
  <classification authority="ddc">006.312 USM-D</classification>
  <identifier type="isbn">9783031174414</identifier>
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    <recordCreationDate encoding="marc">260710</recordCreationDate>
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