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Apply Data Science
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Apply Data Science : Introduction, Applications and Projects

1st ed. 2023

Book Details

Format Paperback / Softback
ISBN-10 3658387971
ISBN-13 9783658387976
Edition 1st ed. 2023
Publisher Springer Fachmedien Wiesbaden
Imprint Springer Vieweg
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 2nd, 2023
Print length 232 Pages
Weight 464 grams
Dimensions 16.80 x 23.90 x 1.40 cms
Ksh 8,100.00
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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.
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.

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