Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Author Aurélien Géron
ISBN-10 1491962291
ISBN-13 9781491962299
Year 2017-04-09
Pages 566
Language English
Publisher O’Reilly Media
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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 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 frameworksscikit learn and TensorFlowauthor Aurlien Gron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems Youll 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 youve 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 netsApply practical code examples without acquiring excessive machine learning theory or algorithm details

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