Hardcover. fine hardcover copy in a fine dustwrapper 1st edition. Regency London is vividly brought to life in this extraordinary page-turner, the first in a series of historical thrillers featuring Bow Street Runner Matthew Hawkwood û a dangerous, sexy and fascinating hero.
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Condition: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 92 pages. 9.25x6.10x0.28 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 94 pages. 9.25x6.10x0.20 inches. In Stock.
Language: English
Published by Academic Press 2015-10-15, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Seller: Chiron Media, Wallingford, United Kingdom
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Language: English
Published by Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: 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.
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Add to basketHardcover. Condition: Brand New. 1st edition. 206 pages. 9.25x6.25x0.75 inches. In Stock.
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Add to basketCondition: 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.
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128037326 ISBN 13: 9780128037324
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketHardback. Condition: 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.