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Machine learning and the NBA Game
The purpose of this research was to analyse changes in performance through data simulation. Machine learning has been a popular tool for prediction in the NBA. What we wanted to see how a change in performance is affected in actual points. When a club improves its game, or when a club underperforms what that means as points. Through a points-prediction simulation, we analysed how a change in performance of 1-3% will affect the top five-performing and worst performing clubs.
© Copyright 2021 Journal of Physical Education and Sport. University of Pitesti. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | sport games technical and natural sciences |
| Tagging: | maschinelles Lernen |
| Published in: | Journal of Physical Education and Sport |
| Language: | English |
| Published: |
2021
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| Online Access: | https://doi.org/10.7752/jpes.2021.06453 |
| Volume: | 21 |
| Issue: | 6 |
| Pages: | 3339-3343 |
| Document types: | article |
| Level: | advanced |