Hands On Machine Learning with Scikit Learn and TensorFlow Book [PDF] Download

Download the fantastic book titled Hands On Machine Learning with Scikit Learn and TensorFlow written by Aurélien Géron, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Hands On Machine Learning with Scikit Learn and TensorFlow", which was released on 13 March 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Hands On Machine Learning with Scikit Learn and TensorFlow by Aurélien Géron PDF

Graphics in this book are printed in black and white. 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 Apply practical code examples without acquiring excessive machine learning theory or algorithm details


Detail About Hands On Machine Learning with Scikit Learn and TensorFlow PDF

  • Author : Aurélien Géron
  • Publisher : "O'Reilly Media, Inc."
  • Genre : Computers
  • Total Pages : 722 pages
  • ISBN : 1491962240
  • PDF File Size : 51,8 Mb
  • Language : English
  • Rating : 4/5 from 1 reviews

Clicking on the GET BOOK button will initiate the downloading process of Hands On Machine Learning with Scikit Learn and TensorFlow by Aurélien Géron. This book is available in ePub and PDF format with a single click unlimited downloads.

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Hands-On Machine Learning with Scikit-Learn and TensorFlow

Hands-On Machine Learning with Scikit-Learn and TensorFlow
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 25,7 Mb
  • Release Date : 13 March 2017
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Graphics in this book are printed in black and white. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who

Hands-on Scikit-Learn for Machine Learning Applications

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  • Release Date : 16 November 2019
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Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn

Grokking Deep Learning

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Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the

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  • Publisher : Packt Publishing Ltd
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This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework. Purchase of the

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  • Publisher : Createspace Independent Publishing Platform
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  • Release Date : 18 October 2017
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Can Machines Really Learn?Machine learning (ML) is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning has become

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  • Publisher : Packt Publishing Ltd
  • File Size : 41,8 Mb
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Get to grips with building robust XGBoost models using Python and scikit-learn for deployment Key Features Get up and running with machine learning and understand how to boost models with