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Data Analytics: Models and Algorithms for Intelligent Data Analysis - Softcover

Runkler, Thomas A.

 
9783658297787: Data Analytics: Models and Algorithms for Intelligent Data Analysis
Softcover
ISBN 10: 3658297786 ISBN 13: 9783658297787
Verlag: Springer Vieweg, 2020

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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

Von der hinteren Coverseite

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.


Content

• Data Analytics

• Data and Relations

• Data Preprocessing

• Data Visualization

• Correlation

• Regression

• Forecasting

• Classification

• Clustering


Target Groups

  • Students of computer science, mathematics and engineering
  • Data analytics practitioners


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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Verlag
Springer Vieweg
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3658297786
ISBN 13 
9783658297787
Einband
Taschenbuch
Auflage
3
Anzahl der Seiten
173
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