Data Analytics
Models and Algorithms for Intelligent Data Analysis
(Sprache: Englisch)
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...
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Klappentext zu „Data Analytics “
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.
Inhaltsverzeichnis zu „Data Analytics “
Introduction.- Data and Relations.- Data Preprocessing.- Data Visualization.- Correlation.- Regression.- Forecasting.- Classification.- Clustering.Autoren-Porträt von Thomas A. Runkler
Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.Bibliographische Angaben
- Autor: Thomas A. Runkler
- 2020, 3. Aufl., XII, 161 Seiten, Masse: 16,8 x 24 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658297786
- ISBN-13: 9783658297787
- Erscheinungsdatum: 14.05.2020
Sprache:
Englisch
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