Summary of Stacking-based Deep Neural Network For Player Scouting in Football 1, by Simon Lacan (imt Nord Europe)
Stacking-based deep neural network for player scouting in football 1
by Simon Lacan
First submitted to arxiv on: 13 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed stacking-based deep learning model detects high-potential football players with significant improvement over classical statistical methods. By analyzing large databases of players, the model identifies promising prospects for human scouts to consider. The approach combines techniques from datascouting and professional football to identify top talent. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A team of researchers has created a new way to find talented young football players using computer algorithms. This method looks at lots of data about many players to pick out the most likely stars. It’s better than other methods because it finds more great players. The goal is to help human scouts find the best new players for their teams. |
Keywords
* Artificial intelligence * Deep learning
