Data Analytics
Autor Thomas A. Runkleren Limba Engleză Paperback – 20 noi 2024
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 197.87 lei 22-36 zile | +13.73 lei 5-11 zile |
| Springer Fachmedien Wiesbaden – 20 noi 2024 | 197.87 lei 22-36 zile | +13.73 lei 5-11 zile |
| Springer Fachmedien Wiesbaden – 14 mai 2020 | 315.31 lei 43-57 zile | +29.37 lei 5-11 zile |
Preț: 197.87 lei
Preț vechi: 247.33 lei
-20% Nou
Puncte Express: 297
Preț estimativ în valută:
35.01€ • 40.79$ • 30.57£
35.01€ • 40.79$ • 30.57£
Carte disponibilă
Livrare economică 29 decembrie 25 - 12 ianuarie 26
Livrare express 12-18 decembrie pentru 23.72 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783658459505
ISBN-10: 3658459506
Pagini: 204
Dimensiuni: 168 x 240 x 12 mm
Greutate: 0.34 kg
Ediția:Fourth Edition 2025
Editura: Springer Fachmedien Wiesbaden
ISBN-10: 3658459506
Pagini: 204
Dimensiuni: 168 x 240 x 12 mm
Greutate: 0.34 kg
Ediția:Fourth Edition 2025
Editura: Springer Fachmedien Wiesbaden
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