Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems

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Titel
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow concepts, tools, and techniques to build intelligent systems
verantwortlich
Géron, Aurélien (VerfasserIn); O'Reilly Media, Inc (Verlag)
Ausgabe
Second edition
veröffentlicht
Beijing, Boston, Farnham, Sebastopol, Tokyo: O'Reilly, September 2019
Erscheinungsjahr
2019
Erscheint auch als
Géron, Aurélien, Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow, Second edition, Beijing : O'Reilly, 2019, XXV, 819 Seiten
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Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems
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contents 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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spelling Géron, Aurélien VerfasserIn (DE-588)1131560930 (DE-627)886134307 (DE-576)488286980 aut, Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow concepts, tools, and techniques to build intelligent systems Aurélien Géron, Second edition, Beijing Boston Farnham Sebastopol Tokyo O'Reilly September 2019, 1 Online-Ressource (xxv, 819 Seiten) Illustrationen, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, 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., Python (Computer program language), Machine learning, Electronic books, s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, s (DE-588)4121521-7 (DE-627)105769037 (DE-576)209543930 Programmbibliothek gnd, s (DE-588)4434275-5 (DE-627)222463988 (DE-576)21240492X Python Programmiersprache gnd, (DE-627), s (DE-588)1160521077 (DE-627)1023792893 (DE-576)505966425 Keras Framework, Informatik gnd, s (DE-588)1153577011 (DE-627)1015087396 (DE-576)50032672X TensorFlow gnd, O'Reilly Media, Inc. Verlag (DE-588)1065501749 (DE-627)816764859 (DE-576)42524931X pbl, 9781492032649, Erscheint auch als Druck-Ausgabe Géron, Aurélien Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow Second edition Beijing : O'Reilly, 2019 XXV, 819 Seiten (DE-627)1039858198 9781492032649 9781098125974, https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=5892320 X:EBC Verlag lizenzpflichtig
spellingShingle Géron, Aurélien, Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems, 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., Python (Computer program language), Machine learning, Electronic books, Künstliche Intelligenz, Maschinelles Lernen, Programmbibliothek, Python Programmiersprache, Keras Framework, Informatik, TensorFlow
title Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems
title_auth Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow concepts, tools, and techniques to build intelligent systems
title_full Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow concepts, tools, and techniques to build intelligent systems Aurélien Géron
title_fullStr Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow concepts, tools, and techniques to build intelligent systems Aurélien Géron
title_full_unstemmed Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow concepts, tools, and techniques to build intelligent systems Aurélien Géron
title_short Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow
title_sort hands-on machine learning with scikit-learn, keras, and tensorflow concepts, tools, and techniques to build intelligent systems
title_sub concepts, tools, and techniques to build intelligent systems
title_unstemmed Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems
topic Python (Computer program language), Machine learning, Electronic books, Künstliche Intelligenz, Maschinelles Lernen, Programmbibliothek, Python Programmiersprache, Keras Framework, Informatik, TensorFlow
topic_facet Python (Computer program language), Machine learning, Electronic books, Künstliche Intelligenz, Maschinelles Lernen, Programmbibliothek, Python, Keras, TensorFlow
url https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=5892320
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