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Condition: Very Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
US$ 16.79
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Strategic Engineering for Cloud Computing and Big Data Analytics.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
US$ 16.99
Convert currencyUS$ 35.34 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketxii, 226 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. Sprache: Englisch.
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Cloud Computing for Geospatial Big Data Analytics. Intelligent Edge, Fog and Mist Computing.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
US$ 26.70
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Add to basketXII, 289 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. Volume 49. Sprache: Englisch.
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Condition: As New. Unread book in perfect condition.
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Cloud Computing Anomaly and Threat Detection: Using Big Data Analytics and Machine Learning
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204719041 ISBN 13: 9786204719047
Language: English
Condition: New.
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Machine Learning for Decision Makers : Cognitive Computing Fundamentals for Better Decision Making. In the Age of IoT, Big Data Analytics, the Cloud, and Cognitive Computing
Published by Springer, Berlin, Apress, 2018
ISBN 10: 1484229878 ISBN 13: 9781484229873
Language: English
US$ 64.64
Convert currencyUS$ 36.56 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makersserves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other.This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making.The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business.What You Will LearnDiscover the machine learning, big data, and cloud and cognitive computing technology stackGain insights into machine learning concepts and practicesUnderstand business and enterprise decision-making using machine learningAbsorb machine-learning best practicesWho This Book Is ForManagers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.
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Applications of Machine Learning in Big-Data Analytics and Cloud Computing (River Publishers Series in Information Science and Technology)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. Clean, unmarked copy.
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Intelligent Network Design Driven by Big Data Analytics, Iot, Ai and Cloud Computing
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Language: English
US$ 157.37
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Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New.
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Add to basketCondition: New. KlappentextrnrnA class of highly mathematical algorithms works with three-dimensional (3D) data known as graphs. Our research challenge focuses on applying these algorithms to solve more complex problems with financial data, which tend to be in .
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Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics
Published by Information Science Reference, 2021
ISBN 10: 1799857166 ISBN 13: 9781799857167
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 227.94
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Emerging Trends in Iot and Integration With Data Science, Cloud Computing, and Big Data Analytics (Advances in Web Technologies and Engineering)
Published by Information Science Reference, 2021
ISBN 10: 1799841863 ISBN 13: 9781799841869
Language: English
US$ 276.62
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Cloud-based Big Data Analytics in Vehicular Ad-hoc Networks (Advances in Systems Analysis, Software Engineering, and High Performance Computing, 1)
Published by Engineering Science Reference, 2020
ISBN 10: 179982764X ISBN 13: 9781799827641
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 321.53
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US$ 68.60
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnA class of highly mathematical algorithms works with three-dimensional (3D) data known as graphs. Our research challenge focuses on applying these algorithms to solve more complex problems with financial data, which tend to be in .
