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  <titleInfo>
    <title>Mathematical foundations of data science using R</title>
  </titleInfo>
  <name type="personal">
    <namePart>Emmert-Streib, Frank</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Salissou, Moutari</namePart>
  </name>
  <name type="personal">
    <namePart>Dehmer, Matthias</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">München</placeTerm>
    </place>
    <publisher>De Gruyter Oldenbourg</publisher>
    <dateIssued>2010</dateIssued>
    <dateIssued encoding="marc">2022</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xv, 408 p.</extent>
  </physicalDescription>
  <abstract>The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science</abstract>
  <note type="statement of responsibility">Frank Emmert-Streib, Salissou Moutari and Matthias Dehmer</note>
  <note>Includes bibliographical references and index.</note>
  <note>Eng</note>
  <subject>
    <topic>Statistics-data processing</topic>
  </subject>
  <subject>
    <topic>Data mining</topic>
  </subject>
  <classification authority="ddc">006.312 EMM-M</classification>
  <identifier type="isbn">9783110795882</identifier>
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    <recordCreationDate encoding="marc">260730</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260730155025.0</recordChangeDate>
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