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Nature Inspired Computing for Data Science.
Book 374 of 538: Studies in Computational IntelligenceSeller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
XII, 295 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 Computational Intelligence, 871. Sprache: Englisch.
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Condition: As New. Unread book in perfect condition.
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Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) (Intelligent Data-Centric Systems)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications: 4 (Intelligent Biomedical Data Analysis, 4)
Language: English
Published by De Gruyter 2021-02-08, 2021
ISBN 10: 3110676060 ISBN 13: 9783110676068
Hardcover. Condition: New.
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Nature Inspired Computing for Data Science (Studies in Computational Intelligence, 871)
Book 374 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Nature Inspired Computing for Data Science (Studies in Computational Intelligence)
Book 374 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Nature Inspired Computing for Data Science
Book 374 of 538: Studies in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Nature Inspired Computing for Data Science
Book 374 of 538: Studies in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 105.92
£ 15 shipping
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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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Nature Inspired Computing for Data Science
Book 374 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 3030338223 ISBN 13: 9783030338220
Paperback. Condition: Brand New. 312 pages. 9.25x6.10x0.74 inches. In Stock.
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Hardcover. Condition: Brand New. 312 pages. 9.25x6.10x0.83 inches. In Stock.
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Taschenbuch. Condition: Neu. Nature Inspired Computing for Data Science | Minakhi Rout (u. a.) | Taschenbuch | xii | Englisch | 2021 | Springer | EAN 9783030338220 | 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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Nature Inspired Computing for Data Science
Book 374 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030338223 ISBN 13: 9783030338220
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.
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Nature Inspired Computing for Data Science
Book 374 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030338193 ISBN 13: 9783030338190
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 168 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing (Springer Tracts in Nature-Inspired Computing)
Book 9 of 23: Springer Tracts in Nature-Inspired ComputingSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 148.08
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing (Springer Tracts in Nature-Inspired Computing)
Book 9 of 23: Springer Tracts in Nature-Inspired ComputingSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 148.08
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Paperback. Condition: New. New. book.
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Hardcover. Condition: New. New. book.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Nature Inspired Computing for Data Science
Book 374 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing Jan 2021, 2021
ISBN 10: 3030338223 ISBN 13: 9783030338220
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. 312 pp. Englisch.
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Nature Inspired Computing for Data Science
Book 374 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing Jan 2020, 2020
ISBN 10: 3030338193 ISBN 13: 9783030338190
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. 312 pp. Englisch.
