| 書目名稱 | Computer Science in Sport | | 副標題 | Modeling, Simulation | | 編輯 | Daniel Memmert | | 視頻video | http://file.papertrans.cn/234/233807/233807.mp4 | | 概述 | Excellent as supporting lecture for bachelor and master modules related to computer science in sport.Easy learning and optimal exam preparation through questions for self-testing (SN Flashcards).Writt | | 圖書封面 |  | | 描述 | In recent years, computer science in sport has grown extremely, mainly because more and more new data has become available. Computer science tools in sports, whether used for opponent preparation, competition, or scientific analysis, have become indispensable across various levels of expertise nowadays. A completely new market has emerged through the utilization of these tools in the four major fields of application: clubs and associations, business, science, and the media. This market is progressively gaining importance within university research and educational activities..This textbook aims to live up to the now broad diversity of computer science in sport by having more than 30 authors report from their special field and concisely summarise the latest findings. The book is divided into four main sections: data sets, modelling, simulation and data analysis. In addition to background information on programming languages and visualisation, the textbook is framed by history and an outlook. ..Students with a connection to sports science are given a comprehensive insight into computer science in sport, supported by a didactically sophisticated concept that makes it easy to convey the | | 出版日期 | Textbook 2024 | | 關鍵詞 | machine learning (ML); artifical intelligence (AI); big data; deep learning; perofmance indicators; progr | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-68313-2 | | isbn_softcover | 978-3-662-68312-5 | | isbn_ebook | 978-3-662-68313-2 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE |
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