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Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / [electronic book] / Aurélien Géron

By: Material type: Computer fileComputer filePublisher: Sebastopol, California, USA : O'Reilly Media Inc., ©2022Edition: 3rd editionDescription: 1 online resource (xxvi, 836 pages) : illustrations, charts, samplesContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781098122461
Subject(s): Online resources: Summary: Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems
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eBooks eBooks ATU Electronic Resources eBook 005.133 (Browse shelf(Opens below)) Available Non-Linear eBook - click link above to access ebk346496

Includes index

Restricted to ATU patrons

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems

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