Data Science in Practice (Paperback, Softcover reprint of the original 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 46
Release date:	December 2018
First published:	2019
Editors:	Alan Said • Vicenc Torra
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	195
Edition:	Softcover reprint of the original 1st ed. 2019
ISBN-13:	978-3-03-007374-9
Categories:	Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-007374-2
Barcode:	9783030073749

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