Data Science in Practice

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139,09 

Studies in Big Data 46

ISBN: 3319975552
ISBN 13: 9783319975559
Herausgeber: Alan Said/Vicenç Torra
Verlag: Springer Verlag GmbH
Umfang: viii, 195 S., 28 s/w Illustr., 15 farbige Illustr., 195 p. 43 illus., 15 illus. in color.
Erscheinungsdatum: 27.09.2018
Auflage: 1/2019
Produktform: Gebunden/Hardback
Einband: Gebunden

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.

Artikelnummer: 5288405 Kategorie:

Beschreibung

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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