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Da: Basi6 International, Irving, TX, U.S.A.
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
EUR 77,12
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Da: Chiron Media, Wallingford, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,36
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 89,52
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 108,83
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 100,15
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 124,61
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Aggiungi al carrelloHardback. Condizione: New. Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 118,93
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 109,42
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Da: Revaluation Books, Exeter, Regno Unito
EUR 154,22
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 206 pages. 9.25x6.25x0.75 inches. In Stock.
Da: moluna, Greven, Germania
EUR 115,83
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Aggiungi al carrelloCondizione: New. Advanced computational and statistical methodologies for analysing big data are developed Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable Case studies.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Da: Rarewaves.com UK, London, Regno Unito
EUR 117,77
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Aggiungi al carrelloHardback. Condizione: New. Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 67,65
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Da: Revaluation Books, Exeter, Regno Unito
EUR 78,98
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 206 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 116,14
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 150,00
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 158,88
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data.