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    TensorFlow Machine Learning Cookbook

    Posted By: AlenMiler
    TensorFlow Machine Learning Cookbook

    TensorFlow Machine Learning Cookbook by Nick McClure
    English | 14 Feb. 2017 | ISBN: 1786462168 | 370 Pages | EPUB/PDF (conv) | 9.27 MB

    Key Features

    Your quick guide to implementing TensorFlow in your day-to-day machine learning activities
    Learn advanced techniques that bring more accuracy and speed to machine learning
    Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow

    Book Description

    TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google's machine learning library TensorFlow.

    This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP.

    Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.

    What you will learn

    Become familiar with the basics of the TensorFlow machine learning library
    Get to know Linear Regression techniques with TensorFlow
    Learn SVMs with hands-on recipes
    Implement neural networks and improve predictions
    Apply NLP and sentiment analysis to your data
    Master CNN and RNN through practical recipes
    Take TensorFlow into production

    About the Author

    Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University.

    He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his blog, http://fromdata.org/, or through his Twitter account, @nfmcclure.

    Table of Contents

    Getting Started with TensorFlow
    The TensorFlow Way
    Linear Regression
    Support Vector Machines
    Nearest Neighbor Methods
    Neural Networks
    Natural Language Processing
    Convolutional Neural Networks
    Recurrent Neural Networks
    Taking TensorFlow to Production
    More with TensorFlow