Hands On Machine Learning with Scikit Learn Keras and TensorFlow

Book Hands On Machine Learning with Scikit Learn  Keras  and TensorFlow Cover

Hands On Machine Learning with Scikit Learn Keras and TensorFlow PDF book by Aurélien Géron Read Online or Free Download in ePUB, PDF or Kindle eBooks. Published in 05 September 2019 the book become immediate popular and critical acclaim in Computers books. Click Download Book button to get book file. Read some info about this book below.

  • Publisher : "O'Reilly Media, Inc."
  • Release : 05 September 2019
  • ISBN : 9781492032595
  • Page : 856 pages
  • Total View : 4452 Views
  • Rating : 4.5/5 from 103 voters

Hands On Machine Learning with Scikit Learn Keras and TensorFlow Book PDF summary

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 Aurélien Géron 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 nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
  • Author : Aurélien Géron
  • Publisher : "O'Reilly Media, Inc."
  • Total Download : 740
  • File Size : 52,9 Mb
DOWNLOAD BOOKHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow PDF book is popular Computers book written by Aurélien Géron. The book was released by "O'Reilly Media, Inc." in 05 September 2019 with total hardcover pages 856. 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 Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
  • Author : Aurélien Géron
  • Publisher : O'Reilly Media
  • Total Download : 807
  • File Size : 50,8 Mb
DOWNLOAD BOOKHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow PDF book is popular Computers book written by Aurélien Géron. The book was released by O'Reilly Media in 05 September 2019 with total hardcover pages 856. 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 Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Machine Learning

Machine Learning
  • Author : Stephen Marsland
  • Publisher : CRC Press
  • Total Download : 851
  • File Size : 41,8 Mb
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Deep Learning with TensorFlow 2 and Keras
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  • Publisher : Packt Publishing Ltd
  • Total Download : 867
  • File Size : 54,6 Mb
DOWNLOAD BOOKDeep Learning with TensorFlow 2 and Keras

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
  • Author : Tarek Amr
  • Publisher : Packt Publishing Ltd
  • Total Download : 270
  • File Size : 50,6 Mb
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits PDF book is popular Computers book written by Tarek Amr. The book was released by Packt Publishing Ltd in 24 July 2020 with total hardcover pages 856. Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems Key Features Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python Master the art of data-driven problem-solving with hands-on examples Foster your theoretical and practical knowledge of supervised and unsupervised machine learning algorithms Book Description Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular

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  • Publisher : "O'Reilly Media, Inc."
  • Total Download : 767
  • File Size : 42,7 Mb
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Hands-On Unsupervised Learning Using Python PDF book is popular Computers book written by Ankur A. Patel. The book was released by "O'Reilly Media, Inc." in 21 February 2019 with total hardcover pages 856. Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two

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  • File Size : 48,8 Mb
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  • Publisher : Packt Publishing Ltd
  • Total Download : 257
  • File Size : 54,8 Mb
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