Data Analytics: Models and Algorithms for Intelligent Data Analysis

Thomas A. Runkler

ISBN 10: 3834825883 ISBN 13: 9783834825889
Published by Vieweg+Teubner Verlag, 2012
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This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. 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 text is designed for undergraduate and graduate courses on data analytics for engineering, computer science, and math students. It is also suitable for practitioners working on data analytics projects. This book has been used for more than ten years in numerous courses at the Technical University of Munich, Germany, in short courses at several other universities, and in tutorials at scientific conferences. Much of the content is based on the results of industrial research and development projects at Siemens.

About the Author: Thomas Runkler is doing research at Siemens Corporate Technology in Munich and teaching data analytics and machine learning at the Technical University of Munich.

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Title: Data Analytics: Models and Algorithms for ...
Publisher: Vieweg+Teubner Verlag
Publication Date: 2012
Binding: Paperback
Condition: Very Good
Dust Jacket Condition: No Jacket

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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. 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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