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Data Science in Non-Profit

Machine Learning

Page 11: titles 181–198. Back to the start of Machine Learning

Every Machine Learning title

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Machine Learning, page 11

  • Sinan Ozdemir
    Feature Engineering Bookcamp
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    Paperback
  • Ville Tuulos
    Effective Data Science Infrastructure
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  • Yuan Tang
    Distributed Machine Learning Patterns
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    Paperback
  • Vaibhav Verdhan
    Data Without Labels
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    Paperback
  • Ben Wilson
    Machine Learning Engineering in Action
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    Paperback
  • Edward Raff
    Inside Deep Learning
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    Paperback
  • David Sweet
    Experimentation for Engineers
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    Paperback
  • Qingquan Song, Haifeng Jin, Xia Hu
    Automated Machine Learning in Action
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    Paperback
  • Andrew Ferlitsch
    Deep Learning Patterns and Practices
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    Paperback
  • J. Morris Chang, Di Zhuang, G. Dumindu Samaraweera
    Privacy-Preserving Machine Learning
    From $47.99 for groups
    Paperback
  • Ajay Thampi
    Interpretable AI
    From $47.99 for groups
    Paperback
  • Carl Osipov
    MLOps Engineering at Scale
    From $39.99 for groups
    Paperback
  • Mattmann A. Chris
    Machine Learning with TensorFlow, Second Edition
    From $39.99 for groups
    Paperback
  • David Kopec
    Classic Computer Science Problems in Java
    From $39.99 for groups
    Paperback
  • Paul Azunre
    Transfer Learning for Natural Language Processing
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    Paperback
  • Alexey Grigorev
    Machine Learning Bookcamp
    From $39.99 for groups
    Paperback
  • Robert (Munro) Monarch
    Human-in-the-Loop Machine Learning
    From $47.99 for groups
    Paperback
  • Mark Ryan
    Deep Learning with Structured Data
    From $47.99 for groups
    Paperback
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