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Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron.

Por: Tipo de material: TextoTextoIdioma: Inglés Editor: Beijing : O'Reilly, 2019Edición: Second editionDescripción: xxv, 819 páginas : ilustraciones ; 24 cmTipo de contenido:
  • texto
Tipo de medio:
  • sin mediación
Tipo de soporte:
  • volumen
ISBN:
  • 9781492032649
  • 1492032646
Títulos uniformes:
  • Hands-on machine learning with Scikit-Learn and TensorFlow
Tema(s): Clasificación CDD:
  • 006.31   G876h 2019
Resumen: 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 2 - the author 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.
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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 2 - the author 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.

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