Data Analytics: Models and Algorithms for Intelligent Data Analysis
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.
1126361631
Data Analytics: Models and Algorithms for Intelligent Data Analysis
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.
44.99 In Stock
Data Analytics: Models and Algorithms for Intelligent Data Analysis

Data Analytics: Models and Algorithms for Intelligent Data Analysis

by Thomas A. Runkler
Data Analytics: Models and Algorithms for Intelligent Data Analysis

Data Analytics: Models and Algorithms for Intelligent Data Analysis

by Thomas A. Runkler

eBook2nd ed. 2016 (2nd ed. 2016)

$44.99 

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Overview

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.

Product Details

ISBN-13: 9783658140755
Publisher: Springer Vieweg
Publication date: 07/26/2016
Sold by: Barnes & Noble
Format: eBook
File size: 3 MB

About the Author

Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.

Table of Contents

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

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