Data Analytics: Models and Algorithms for Intelligent Data Analysis - A Comprehensive Introduction

Runkler, Thomas A. (Author)

ISBN 10: 3658459506 ISBN 13: 9783658459505
Published by Springer Vieweg, 2024
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4th edition. 202 pages. 9.44x6.61x9.45 inches. In Stock. Seller Inventory # x-3658459506

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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.

About the Author:

Thomas A. Runkler is Distinguished Key Expert at Siemens AG and Professor at the School of Computation, Information and Technology of the Technical University of Munich.

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Title: Data Analytics: Models and Algorithms for ...
Publisher: Springer Vieweg
Publication Date: 2024
Binding: Paperback
Condition: Brand New
Edition: 4th Edition

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Taschenbuch. Condition: Neu. Data Analytics | Models and Algorithms for Intelligent Data Analysis - A Comprehensive Introduction | Thomas A. Runkler | Taschenbuch | xiii | Englisch | 2024 | Springer Fachmedien Wiesbaden | EAN 9783658459505 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 129845526

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Taschenbuch. Condition: Neu. Neuware -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.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 204 pp. Englisch. Seller Inventory # 9783658459505

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783658459505

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 204 pp. Englisch. Seller Inventory # 9783658459505

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