Neuware - 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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Bibliographic Details

Title: Data Analytics : Models and Algorithms for Intelligent Data Analysis
Publisher: Springer, Berlin, Springer Fachmedien Wiesbaden, Springer Vieweg
Publication Date: 2020
Language: English
ISBN 10: 3658297786
ISBN 13: 9783658297787
Binding: Taschenbuch
Edition: 3rd Edition
Condition: Neu
Dimensions: 240 millimeters width by 168 millimeters height by 9 millimeters depth
Weight: 307 grams

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Synopsis

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.

About the Author

Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.

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