ISBN 10: 9843233824 ISBN 13: 9789843233820
Da: BookHolders, Towson, MD, U.S.A.
Condizione: Very Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: Second ] Publisher: Gyankosh Prokashoni Pub Date: 1/1/2006 Binding: Spiral-Bound Pages: 249 Second edition.
Da: California Books, Miami, FL, U.S.A.
EUR 41,77
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Da: Revaluation Books, Exeter, Regno Unito
EUR 97,86
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Aggiungi al carrelloPaperback. Condizione: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 106,80
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Aggiungi al carrelloPaperback. Condizione: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.
Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 133,64
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 150,47
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 147,33
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 159,14
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 181,96
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Aggiungi al carrelloCondizione: New. 2025. 1st Edition. hardcover. . . . . .
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032996935 ISBN 13: 9781032996936
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 209,12
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Aggiungi al carrelloHardback. Condizione: New. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether you're looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource.
EUR 223,01
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Aggiungi al carrelloHardcover. Condizione: Brand New. 296 pages. 10.00x7.00x10.24 inches. In Stock.
Condizione: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
EUR 188,95
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Aggiungi al carrelloBuch. Condizione: Neu. Data-Driven Applications for Emerging Technologies | Nazmul Siddique (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | CRC Press | EAN 9781032996936 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032996935 ISBN 13: 9781032996936
Da: Rarewaves.com UK, London, Regno Unito
EUR 195,40
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Aggiungi al carrelloHardback. Condizione: New. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether you're looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource.
Da: moluna, Greven, Germania
EUR 39,24
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Arefin Ahmed ShamsulAhmed Shamsul Arefin is a PhD candidate, Computer Science at The University of Newcastle, Australia. He is currently working at the Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine. Hi.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,59
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Book deals with the NP-Completeness and an approximation algorithm for finding minimum edge ranking spanning tree (MERST) on series-parallel graphs. An edge-ranking is optimal if the least number of distinct labels among all possible edge-rankings are used by it. The edge-ranking problem is to find an optimal edge-ranking of a given graph. The minimum edge-ranking spanning tree problem is to find a spanning tree of a graph G whose edge-ranking is minimum. The minimum edge-ranking spanning tree problem of graphs has important applications like scheduling the parallel assembly of a complex multi-part product from its components and relational database. Although polynomial-time algorithm to solve the minimum edge-ranking spanning tree problem on series- parallel graphs with bounded degrees has been found, but for the unbounded degrees no polynomial-time algorithm is known. In this work, we have proved that the minimum edge-ranking spanning tree problem for general series-parallel graph is NP-Complete and designed an efficient approximation algorithm which will find a near-optimal solution of the problem.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032996935 ISBN 13: 9781032996936
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether youre looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource. This book explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032996935 ISBN 13: 9781032996936
Da: CitiRetail, Stevenage, Regno Unito
EUR 132,72
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether youre looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource. This book explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 193,94
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 296 pages. 10.00x7.00x10.24 inches. In Stock. This item is printed on demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 177,21
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications.