- We will send in 10–14 business days.
/images/books/14786404/9783658459505.jpg)
- Author: Thomas A Runkler
- Publisher: Springer Vieweg
- ISBN-10: 3658459506
- ISBN-13: 9783658459505
- Format: 16.8 x 23.1 x 1.5 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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. The new edition integrates themes such as Word Embeddings, Transformer Models, and generative AI among the contents and offers new exercises in addition. 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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 23d.03:22:18
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Thomas A Runkler
- Publisher: Springer Vieweg
- ISBN-10: 3658459506
- ISBN-13: 9783658459505
- Format: 16.8 x 23.1 x 1.5 cm, minkšti viršeliai
- Language: English English
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. The new edition integrates themes such as Word Embeddings, Transformer Models, and generative AI among the contents and offers new exercises in addition. 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.
Reviews