Computer Science in Sport, m. 1 Buch, m. 1 E-Book
Computer Science in Sport, m. 1 Buch, m. 1 E-Book
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 learning content. Numerous questions for self-testing underpin the learning effect and ensure optimal exam preparation. For advanced students, the in-depth discussion of time series data mining, artificial neural networks, convolution kernels, transfer learning and random forests offers additional value.
I HISTORY
HistoryII DATA.- Artificial data.- Text data
Video data
Event data
Position data
Online data
III MODELING
Modeling
Predictive models.- Physiological modeling
IV SIMULATION
Simulation
Metabolic simulation.- Simulation of physiological adaptation processes
V PROGRAMMING LANGUAGES
An introduction to the programming language R for beginners
Phyton
VI DATA ANALYSIS
Logistic Regression.- Time Series Data Mining.- Process Mining.- Networks Centrality.- Artificial Neural Networks.- Deep Neural Networks.- Convolutional Neural Networks.- Transfer Learning
Random Forest
Statistical learning for the modeling of soccer matches.- Open-Set Recognition
VII VISUALIZATION
Visualization - Basics and Concepts
VIII OUTLOOK
Outlook.
Memmert, Daniel
ISBN | 978-3-662-68312-5 |
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Artikelnummer | 9783662683125 |
Medientyp | Non Books |
Auflage | 2024 |
Copyrightjahr | 2024 |
Verlag | Springer, Berlin |
Umfang | XVII, 249 Seiten |
Abbildungen | XVII, 249 p. 11 illus. |
Sprache | Englisch |