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
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Format:
Bog, paperback
Udgivelsesdato:
14-10-2019
Sprog:
Engelsk
Sidetal:
600
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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. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author Aurelien Geron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll 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 you've learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse Scikit-Learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural nets

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Udgivelsesdato:
14-10-2019
ISBN13:
9781492032649
Bredde:
178 mm
Højde:
233 mm
Format:
Paperback
Udgave:
2nd New edition
Forfattere
Bibliotekernes beskrivelse 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. This practical book shows you how.

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