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

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.

List of contents

Introduction.- Data and Relations.- Data Preprocessing.- Data Visualization.- Correlation.- Regression.- Forecasting.- Classification.- Clustering.

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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Product details

• Authors: Thomas A Runkler, Thomas A. Runkler
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 20.01.2025
• EAN: 9783658459505
• ISBN: 978-3-658-45950-5
• No. of pages: 189
• Dimensions: 168 mm x 11 mm x 240 mm
• Weight: 352 g
• Illustrations: XIII, 189 p. 82 illus. Textbook for German language market.
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Informatik, Algorithmen und Datenstrukturen, machine learning, Data Mining, Algorithms, Deep Learning, Informationstheorie, Wissensbasierte Systeme, Expertensysteme, Classification, Business Intelligence, clustering, Forecasting, Data Structures and Information Theory, Data Mining and Knowledge Discovery, knowledge discovery