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Deep Learning in Data Analytics. Recent Techniques, Practices and Applications.
Book 84 of 108: Studies in Big DataLanguage: English
Published by Cham, Springer International Publishing : Imprint: Springer., 2022
ISBN 10: 3030758540 ISBN 13: 9783030758547
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
First Edition
1st ed. 2022. XX, 266 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Big Data, 91. Sprache: Englisch.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Deep Learning in Data Analytics (Hardcover)
Book 90 of 108: Studies in Big DataLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030758540 ISBN 13: 9783030758547
Hardcover. Condition: new. Hardcover. This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications. This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Learning in Data Analytics: Recent Techniques, Practices and Applications (Studies in Big Data)
Book 90 of 108: Studies in Big DataSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 146.95
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Deep Learning in Data Analytics: Recent Techniques, Practices and Applications (Studies in Big Data, 91)
Book 90 of 108: Studies in Big DataSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 146.95
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Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 171.34
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.
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Smart and Intelligent Systems (Hardcover)
Book 54 of 95: Algorithms for Intelligent SystemsLanguage: English
Published by Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 981162108X ISBN 13: 9789811621086
Hardcover. Condition: new. Hardcover. This book is a collection of high-quality research papers presented at the International Conference on Smart and Intelligent Systems (SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC), Andhra Pradesh, India, during February 2526, 2021, in virtual mode. It highlights how recent informatics intelligent systems have successfully been used to develop innovative smart techniques and infrastructure in the field of modern engineering and technology. The book will also be of interest to those working in the field of computational intelligence, smart computer network and security analysis, control and automation system, cloud computing, fog computing and IoT, smart grid communication, smart cities, solar cell synthesis and their performance, green technology, and many more. The contents of this book prove useful to researchers and professionals. This book is a collection of high-quality research papers presented at the International Conference on Smart and Intelligent Systems (SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC), Andhra Pradesh, India, during February 2526, 2021, in virtual mode. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Learning in Data Analytics : Recent Techniques, Practices and Applications
Book 90 of 108: Studies in Big DataLanguage: English
Published by Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030758575 ISBN 13: 9783030758578
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.
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Deep Learning in Data Analytics : Recent Techniques, Practices and Applications
Book 90 of 108: Studies in Big DataLanguage: English
Published by Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 3030758540 ISBN 13: 9783030758547
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thisbook comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.
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Multi-disciplinary Applications of Fog Computing : Responsiveness in Real-time
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 210.63
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Condition: As New. Unread book in perfect condition.
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Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time (Advances in Computational Intelligence and Robotics (Acir) Book Series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 224.18
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Hardcover. Condition: Brand New. 286 pages. 9.25x6.10x0.91 inches. In Stock.
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Multi-disciplinary Applications of Fog Computing : Responsiveness in Real-time
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 229.79
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Deep Learning in Data Analytics (Hardcover)
Book 90 of 108: Studies in Big DataLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030758540 ISBN 13: 9783030758547
Hardcover. Condition: new. Hardcover. This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications. This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Smart and Intelligent Systems: Proceedings of SIS 2021 (Algorithms for Intelligent Systems)
Book 54 of 95: Algorithms for Intelligent SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 258.71
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Taschenbuch. Condition: Neu. Smart and Intelligent Systems | Proceedings of SIS 2021 | Subhojit Dawn (u. a.) | Taschenbuch | Algorithms for Intelligent Systems | xv | Englisch | 2022 | Springer | EAN 9789811621116 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Smart And Intelligent Systems : Proceedi
Book 54 of 95: Algorithms for Intelligent SystemsSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
