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  <titleInfo>
    <title>Machine learning for time series forecasting with Python</title>
  </titleInfo>
  <name type="personal">
    <namePart>Lazzeri, Francesca</namePart>
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  <originInfo>
    <place>
      <placeTerm type="text">Hoboken</placeTerm>
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    <publisher>John Wiley &amp; Sons</publisher>
    <dateIssued>2021</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xviii, 206 p.</extent>
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  <abstract>Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. -- Provided by publisher</abstract>
  <note type="statement of responsibility">Francesca Lazzeri</note>
  <note>Includes bibliographical references and index.</note>
  <note>Eng</note>
  <subject>
    <topic>Python (Computer programming language)</topic>
  </subject>
  <subject>
    <topic>Forecasting-methodology</topic>
  </subject>
  <classification authority="ddc">005.133 LAZ-M</classification>
  <identifier type="isbn">9781119682363</identifier>
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