Apply Data Science : Introduction, Applications and Projects / edited by Thomas Barton, Christian Müller
データ種別 | 電子ブック |
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版 | 1st ed. 2023. |
出版者 | (Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg) |
出版年 | 2023 |
大きさ | XIII, 232 p. 78 illus., 61 illus. in color : online resource |
著者標目 | Barton, Thomas editor Müller, Christian editor SpringerLink (Online service) |
書誌詳細を非表示
一般注記 | Introduction -- Introduction to Data Science -- Systems, Tools and Methods -- Applications 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. The Content Introduction to Data Science Systems, tools and methods Applications The target groups IT consultants and management consultants Project managers and project staff Students and teachers of business informatics, computer science and business administration The editors 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 Müller is a professor at the Technical University of Wildau. His focus is on operations research, simulation of business processes and internet technologies HTTP:URL=https://doi.org/10.1007/978-3-658-38798-3 |
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件 名 | LCSH:Artificial intelligence -- Data processing
全ての件名で検索
LCSH:Information storage and retrieval systems LCSH:Data mining LCSH:Business information services LCSH:Business -- Data processing 全ての件名で検索 LCSH:Big data FREE:Data Science FREE:Information Storage and Retrieval FREE:Data Mining and Knowledge Discovery FREE:IT in Business FREE:Business Informatics FREE:Big Data |
分 類 | LCC:Q336 DC23:005.7 |
書誌ID | EB00000679 |
ISBN | 9783658387983 |
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