The application of machine learning and deep learning in sport: predicting NBA players’ performance and popularity
Author:
Affiliation:
1. Rawls College of Business, Texas Tech University, Lubbock, TX, USA
2. School of Information Systems, University of Southern Queensland, Toowoomba, Australia
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/24751839.2021.1977066
Reference50 articles.
1. Apostolou, K. & Tjortjis, C. (2019). Sports Analytics algorithms for performance prediction. In 10th International Conference on Information, Intelligence, Systems and Applications (IISA), PATRAS, Greece. https://doi.org/10.1109/IISA.2019.8900754.
2. A study of the behavior of several methods for balancing machine learning training data
3. microPred: effective classification of pre-miRNAs for human miRNA gene prediction
4. On the Road With the National Basketball Association's Superstar Externality
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