Data Analytics

Models and Algorithms for Intelligent Data Analysis

Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design, Database Management, General Computing
Cover of the book Data Analytics by Thomas A. Runkler, Springer Fachmedien Wiesbaden
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Author: Thomas A. Runkler ISBN: 9783658140755
Publisher: Springer Fachmedien Wiesbaden Publication: July 26, 2016
Imprint: Springer Vieweg Language: English
Author: Thomas A. Runkler
ISBN: 9783658140755
Publisher: Springer Fachmedien Wiesbaden
Publication: July 26, 2016
Imprint: Springer Vieweg
Language: English

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.

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This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.

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