Abstract
Ushbu maqolada sport sohasida raqamli transformatsiya, xususan, Sun’iy Intellekt (SI) va mashinali o‘rganish (Machine Learning) algoritmlarining musobaqa natijalarini bashorat qilishdagi samaradorligi tadqiq etiladi. Maqolada ma’lumotlar tahlilining jamoa taktikasini shakllantirish, sportchilar jarohatini oldini olish va o‘yin natijalarini aniqlashdagi amaliy ahamiyati yoritiladi. Tadqiqot davomida turli algoritmlarning aniqlik darajasi va ularning an’anaviy tahlil usullaridan ustunliklari tahlil qilingan.
References
1. Silver, N. (2012). The Signal and the Noise: Why So Many Predictions Fail-but Some Don't.
2. Memmert, D. (2019). Data Analytics in Football: Positional Data Collection, Modelling and Analysis.
3. Silver, N. (2012). The Signal and the Noise: Why So Many Predictions Fail-but Some Don't. Penguin Books.
4. Miller, S. J. (2017). Mathematics and Sports. Mathematical Association of America.
5. Gudmundsson, J., Wolle, T. (2014). Football Analysis using Spatio-Temporal Data. ACM Computing Surveys.
6. Katz, L. (2013). Introduction to Sports Biomechanics: Analysing Human Movement Patterns. Routledge.
7. Lewis, M. (2003). Moneyball: The Art of Winning an Unfair Game. W. W. Norton Company.
8. Memmert, D. (2019). Data Analytics in Football: Positional Data Collection, Modelling and Analysis. Routledge.
9. Bunker, R. P., Susnjak, T. (2022). The application of machine learning techniques for predicting match outcomes in team sports: A review. Journal of Artificial Intelligence Research.
10. Rossi, A., et al. (2018). «A Machine Learning Approach for Player and Team Performance Analysis». Journal of Sports Sciences.
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