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9783031429231: Machine Learning and the Internet of Things in Education: Models and Applications: 1115 (Studies in Computational Intelligence)

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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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  • EditorialSpringer-Verlag GmbH
  • Año de publicación2023
  • ISBN 10 3031429230
  • ISBN 13 9783031429231
  • EncuadernaciónTapa dura
  • IdiomaInglés
  • Número de páginas292
  • EditorAbiyev Rahib, Idoko John Bush
  • Contacto del fabricanteno disponible

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9783031429262: Machine Learning and the Internet of Things in Education: Models and Applications: 1115 (Studies in Computational Intelligence)

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ISBN 10:  3031429265 ISBN 13:  9783031429262
Editorial: Springer-Verlag GmbH, 2024
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Publicado por Springer Nature Switzerland, 2023
ISBN 10: 3031429230 ISBN 13: 9783031429231
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Depicts the challenges and understanding of role of technology in the fields of machine learning and IoT for teachingFocuses on the design and implementation of algorithmic applications in AI and IoT with pertinent applicationsShowcases rec. Nº de ref. del artículo: 959198668

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Rahib Abiyev
ISBN 10: 3031429230 ISBN 13: 9783031429231
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 292 pp. Englisch. Nº de ref. del artículo: 9783031429231

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Rahib Abiyev
Publicado por Springer Nature Switzerland, 2023
ISBN 10: 3031429230 ISBN 13: 9783031429231
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783031429231

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Buch. Condición: 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. Nº de ref. del artículo: 9783031429231

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Idoko, John Bush (Edited by)/ Abiyev, Rahib (Edited by)
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Hardcover. Condición: Brand New. 289 pages. 9.25x6.10x0.83 inches. In Stock. Nº de ref. del artículo: x-3031429230

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Hardcover. Condición: new. Hardcover. 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. This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783031429231

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