Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 68,06
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 408.
Da: Majestic Books, Hounslow, Regno Unito
EUR 67,06
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 63,56
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,21
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 74,99
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 68,05
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,13
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 72,61
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Da: Books Puddle, New York, NY, U.S.A.
EUR 84,50
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Aggiungi al carrelloCondizione: New. First edition Includes bibliographical references and index.
Editore: Taylor & Francis Ltd (Sales) Okt 2024, 2024
ISBN 10: 0367715120 ISBN 13: 9780367715120
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 77,70
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.
Da: Revaluation Books, Exeter, Regno Unito
EUR 92,96
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Aggiungi al carrelloPaperback. Condizione: Brand New. 274 pages. 9.18x6.12x9.21 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367715120 ISBN 13: 9780367715120
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 80,05
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. With the rapidly advancing fields of Data Analytics and Computational Statistics, its important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367715120 ISBN 13: 9780367715120
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 98,32
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. With the rapidly advancing fields of Data Analytics and Computational Statistics, its important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367715120 ISBN 13: 9780367715120
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 77,01
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. With the rapidly advancing fields of Data Analytics and Computational Statistics, its important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 180,15
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 181,09
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 181,67
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Da: Majestic Books, Hounslow, Regno Unito
EUR 191,31
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 197,92
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 185.
Da: California Books, Miami, FL, U.S.A.
EUR 203,17
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Da: Books Puddle, New York, NY, U.S.A.
EUR 204,57
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 197,91
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 212,30
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 215,41
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 179,88
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Da: Revaluation Books, Exeter, Regno Unito
EUR 265,03
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Aggiungi al carrelloHardcover. Condizione: Brand New. 296 pages. 9.19x6.13x0.79 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 322,73
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 322,73
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 353,09
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Aggiungi al carrelloGebundene Ausgabe. Condizione: Sehr gut. Gebraucht - Sehr gut SG - Ungelesenes Mängelexemplar, gestempelt, mit leichten Lagerspuren - Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.
Da: California Books, Miami, FL, U.S.A.
EUR 402,72
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