- Presents the latest research on Data Science in Practice
- Especially focuses on the applications of Data Science and Big Data
- Written by respected experts in the field
Buy this book
- About this book
-
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.
Buy this book
Services for this Book
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Data Science in Practice
- Editors
-
- Alan Said
- Vicenc Torra
- Series Title
- Studies in Big Data
- Series Volume
- 46
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-97556-6
- DOI
- 10.1007/978-3-319-97556-6
- Hardcover ISBN
- 978-3-319-97555-9
- Series ISSN
- 2197-6503
- Edition Number
- 1
- Number of Pages
- VIII, 195
- Number of Illustrations
- 28 b/w illustrations, 15 illustrations in colour
- Topics
