Description

Book Synopsis
This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown.The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers.

Table of Contents
Introduction.- Introduction to Data Science.- Systems, Tools and Methods.- Applications.

Apply Data Science: Introduction, Applications

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    A Paperback / softback by Thomas Barton, Christian Müller

    £39.99

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    Order before 4pm on Saturday for delivery by Fri 13 Nov 2026.

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      Book details

      Publisher Springer Fachmedien Wiesbaden
      Published 2 January 2023
      ISBN-13 9783658387976
      978-3658387976
      ISBN-10 3658387971
      Also in:
      Algorithms and data structures Artificial intelligence (AI) Information retrieval

      Description

      Book Synopsis
      This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown.The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers.

      Table of Contents
      Introduction.- Introduction to Data Science.- Systems, Tools and Methods.- Applications.

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