Performance Prediction in Major League Baseball by Long Short-Term Memory Networks

@article{Sun2022PerformancePI,
  title={Performance Prediction in Major League Baseball by Long Short-Term Memory Networks},
  author={Hsuan-Cheng Sun and Tse-Yu Lin and Yen-Lung Tsai},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.09654}
}
Player performance prediction is a serious problem in every sport since it brings valuable future information for managers to make important decisions. In baseball industries, there already existed variable prediction systems and many types of researches that attempt to provide accurate predictions and help domain users. How-ever, it is a lack of studies about the predicting method or systems based on deep learning. Deep learning models had proven to be the greatest solutions in different fields… 
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