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- Publisher: Engineering Science Reference
- Year: 2020
- Pages: 400
- ISBN-10: 1799830535
- ISBN-13: 9781799830535
- Format: 21.6 x 27.9 x 3.3 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics (e-book) (used book) | bookbook.eu
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Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Engineering Science Reference
- Year: 2020
- Pages: 400
- ISBN-10: 1799830535
- ISBN-13: 9781799830535
- Format: 21.6 x 27.9 x 3.3 cm, hardcover
- Language: English English
Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.
Reviews