Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 79,30
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Idioma: Inglés
Publicado por Academic Press 2015-10-15, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Librería: Chiron Media, Wallingford, Reino Unido
EUR 70,73
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 108,88
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 100,53
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Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 125,10
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Añadir al carritoHardback. Condición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Mispah books, Redhill, SURRE, Reino Unido
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 206 pages. 9.25x6.25x0.75 inches. In Stock.
Librería: moluna, Greven, Alemania
EUR 115,83
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Librería: Rarewaves.com UK, London, Reino Unido
EUR 118,22
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Añadir al carritoHardback. Condición: 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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 67,65
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 79,28
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 206 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 150,00
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Añadir al carritoBuch. Condición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 158,88
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Añadir al carritoBuch. Condición: 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.