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  <titleInfo>
    <title>The handbook of data science and AI</title>
  </titleInfo>
  <name type="personal">
    <namePart>Papp, Stean</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Germany</placeTerm>
    </place>
    <publisher>Hanser</publisher>
    <dateIssued>c2026</dateIssued>
    <edition>3rd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxviii,976p.: ill.; 37cm</extent>
  </physicalDescription>
  <tableOfContents>Introduction-- The alpha and omega of AI --Cloud services -- Data architecture -- Data engineering -- Data governance -- Machine learning operations(ML Ops) --Machine learning security -- Mathematics -- Statistics-basics -- Business inntelligence(BI) -- Machine learning --Building great AI --Signal processing --Generative AI and large language models -- AI agents -- Vibe coding --Natural language processing(NLP) -- Computer vision -- Modelling and simulation-create your own models -- Data visualization --Data driven enterprises -- Creating high-perfominf teams -- AI act --AI in different industries -- Climate change -- Mindset and community -- Trustworthy Ai -- Epilogue.</tableOfContents>
  <note type="statement of responsibility">by Papp, Stefan ...[ et al ]</note>
  <note>Includes Index.</note>
  <classification authority="lcc">QA76.9.A43  .H36 2026</classification>
  <identifier type="isbn">9781569905159</identifier>
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    <recordCreationDate encoding="marc">260716</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260716101625.0</recordChangeDate>
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