Apply Data Science - Introduction, Applications and Projects (Paperback, 1st ed. 2023)

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.

General

Imprint:	Springer Vieweg
Country of origin:	Germany
Release date:	2023
First published:	2023
Editors:	Thomas Barton • Christian Muller
Dimensions:	240 x 168mm (L x W)
Format:	Paperback
Pages:	232
Edition:	1st ed. 2023
ISBN-13:	978-3-658-38797-6
Languages:	English
Subtitles:	German
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-658-38797-1
Barcode:	9783658387976

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