Apply Data Science

Introduction, Applications and Projects
Buch | Softcover
XIII, 232 Seiten
2023 | 1st ed. 2023
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-38797-6 (ISBN)

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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.

Prof. Dr Thomas Barton is a professor at Worms University of Applied Sciences. His focus is on the development of operational applications, e-business, cloud computing and data science.Prof. Dr Christian Muller is a professor at the Technical University of Wildau. His focus is on operations research, simulation of business processes and internet technologies.

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

Erscheinungsdatum
Zusatzinfo XIII, 232 p. 78 illus., 61 illus. in color.
Verlagsort Wiesbaden
Sprache englisch
Original-Titel Data Science anwenden
Maße 168 x 240 mm
Gewicht 473 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Big Data • business applications • CRM • Customer Relationship Management • Data Science Book • digitisation • Project Management
ISBN-10 3-658-38797-1 / 3658387971
ISBN-13 978-3-658-38797-6 / 9783658387976
Zustand Neuware
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