Data Analytics
Autor Thomas A. Runkleren Limba Engleză Paperback – 20 noi 2024
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 198.06 lei 3-5 săpt. | +14.23 lei 7-13 zile |
| SPRINGER VIEWEG – 20 noi 2024 | 198.06 lei 3-5 săpt. | +14.23 lei 7-13 zile |
| Springer Fachmedien Wiesbaden – 14 mai 2020 | 315.31 lei 6-8 săpt. | +29.12 lei 7-13 zile |
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Specificații
ISBN-13: 9783658459505
ISBN-10: 3658459506
Pagini: 204
Dimensiuni: 168 x 240 x 12 mm
Greutate: 0.35 kg
Ediția:Fourth Edition 2025
Editura: SPRINGER VIEWEG
ISBN-10: 3658459506
Pagini: 204
Dimensiuni: 168 x 240 x 12 mm
Greutate: 0.35 kg
Ediția:Fourth Edition 2025
Editura: SPRINGER VIEWEG
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Cuprins
Introduction.- Data and Relations.- Data Preprocessing.- Data Visualization.- Correlation.- Regression.- Forecasting.- Classification.- Clustering.
Notă biografică
Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
Textul de pe ultima copertă
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
The Author
Thomas A. Runkler is Principal Research Scientist atSiemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
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 atSiemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
Caracteristici
A comprehensive introduction Enabling the reader to design and implement data analytics solutions for real-world applications Written by a researcher from industry with substantial experience with real-world data analytics applications Successfully used for more than 10 years in courses at the Technical University of Munich