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This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.
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This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.
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Machine Learning and the Internet of Things in Education: Models and Applications (Studies in Computational Intelligence, 1115, Band 1115)
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Machine Learning and the Internet of Things in Education
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Machine Learning and the Internet of Things in Education
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Springer Verlag Gmbh Okt 2024, 2024
ISBN 10: 3031429265
ISBN 13: 9783031429262
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Machine Learning and the Internet of Things in Education : Models and Applications, Studies in Computational Intelligence 1115
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Machine Learning and the Internet of Things in Education
ISBN 10: 3031429265
ISBN 13: 9783031429262
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Taschenbuch. Condizione: Neu. Neuware -This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. The rich multidisciplinary contents of the book promise to leave all users satisfied. The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch. Codice articolo 9783031429262
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Machine Learning and the Internet of Things in Education: Models and Applications (Studies in Computational Intelligence, 1115)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 2023rd edition NO-PA16APR2015-KAP. Codice articolo 26403383709
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Machine Learning and the Internet of Things in Education: Models and Applications (Studies in Computational Intelligence, 1115)
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Machine Learning and the Internet of Things in Education: Models and Applications (Studies in Computational Intelligence, 1115)
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