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  <titleInfo>
    <title>Distributed machine learning patterns</title>
  </titleInfo>
  <name type="personal">
    <namePart>Tang, Yuan</namePart>
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  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Manning</publisher>
    <dateIssued>2024</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xix, 225 p.</extent>
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  <abstract>Inside Distributed Machine Learning Patterns you'll learn to apply established distributed systems patterns to machine learning projects--plus explore cutting-edge new patterns created specifically for machine learning. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Hands-on projects and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines</abstract>
  <note type="statement of responsibility">Yuan Tang</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>Machine learning</topic>
  </subject>
  <subject>
    <topic>Systems Architecture</topic>
  </subject>
  <classification authority="ddc">006.30285436 TAN-D</classification>
  <identifier type="isbn">9781617299025</identifier>
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