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Hands-on Machine Learning With Scikit-learn Keras And Tensorflow: Concepts Tools And Techniques To Build Intelligent Systems

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Hands-on Machine Learning With Scikit-learn Keras And Tensorflow: Concepts Tools And Techniques To Build Intelligent Systems

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Hands-on Machine Learning With Scikit-learn Keras And Tensorflow: Concepts Tools And Techniques To Build Intelligent Systems

Through a series of recent 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.The updated edition of this practical bo...
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From R1 102.00 at 2 Shops
Hands-on Machine Learning With Scikit-learn Keras And Tensorflow: Concepts Tools And Techniques To Build Intelligent Systems
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Through a series of recent 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.The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworksscikit-learn, Keras, and TensorFlowto help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.

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Features

Author

aurelien geron

Format

paperback

ISBN

9781492032649

Model Number

9781492032649

Pages

600

Manufacturer

Unbranded

Through a series of recent 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.The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworksscikit-learn, Keras, and TensorFlowto help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.
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Through a series of recent 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.The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworksscikit-learn, Keras, and TensorFlowto help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.

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