Description

Book Synopsis
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. 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.

Table of Contents

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

Data Analytics: Models and Algorithms for

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A Paperback / softback by Thomas A. Runkler

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    View other formats and editions of Data Analytics: Models and Algorithms for by Thomas A. Runkler

    Publisher: Springer Fachmedien Wiesbaden
    Publication Date: 14/05/2020
    ISBN13: 9783658297787, 978-3658297787
    ISBN10: 3658297786
    Also in:
    Algorithms and data structures Data mining Expert systems / knowledge-based systems

    Description

    Book Synopsis
    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. 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.

    Table of Contents

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

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