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

BS12998985
Beschreibung
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 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
Eigenschaften
Abmessungen
17.78 x 3.28 x 23.34 cm
Erscheinungstermin
9. April 2017
Formatieren
Taschenbuch
ISBN-10
1491962291
ISBN-13
978-1491962299
Sprache
Englisch
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