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OverviewThis 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. Full Product DetailsAuthor: Thomas Barton , Christian MüllerPublisher: Springer Fachmedien Wiesbaden Imprint: Springer Vieweg Edition: 1st ed. 2023 Weight: 0.509kg ISBN: 9783658387976ISBN 10: 3658387971 Pages: 232 Publication Date: 02 January 2023 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Undergraduate Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Language: English Table of ContentsReviewsAuthor InformationProf. 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 Müller is a professor at the Technical University of Wildau. His focus is on operations research, simulation of business processes and internet technologies. Tab Content 6Author Website:Countries AvailableAll regions |