Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data /

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 nowad...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Memmert, Daniel (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2024.
Vydání:1st ed. 2024.
Témata:
On-line přístup:https://doi.org/10.1007/978-3-662-68313-2
Tagy: Přidat tag
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Obsah:
  • I HISTORY
  • History
  • II 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. .