On Leveraging Machine Learning in Sport Science in the Hypothetico-deductive Framework
Abstract Supervised machine learning (ML) offers an exciting suite of algorithms that could benefit research in sport science. In principle, supervised ML approaches were designed for pure prediction, as opposed to explanation, leading to a rise in powerful, but opaque, algorithms. Recently, two sub...
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| Main Authors: | Jordan Rodu, Alexandra F. DeJong Lempke, Natalie Kupperman, Jay Hertel |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
|
| Series: | Sports Medicine - Open |
| Online Access: | https://doi.org/10.1186/s40798-024-00788-4 |
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