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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: ALLBOOKS1, Direk, SA, Australia
EUR 75,39
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 76,08
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Librería: Majestic Books, Hounslow, Reino Unido
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Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
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Añadir al carritoCondición: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 70,17
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Publicado por Academic Press 2015-10-15, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 70,12
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Añadir al carritoHardcover. Condición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 118,35
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Publicado por Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 141,44
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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: moluna, Greven, Alemania
EUR 109,99
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Añadir al carritoCondición: 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 approp.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 154,25
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 206 pages. 9.25x6.25x0.75 inches. In Stock.
Publicado por Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 133,59
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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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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 78,60
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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 90,10
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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 96,00
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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.