The application of machine learning and deep learning in sport: predicting NBA players' performance and popularity
NH Nguyen, DTA Nguyen, B Ma… - Journal of Information and …, 2022 - Taylor & Francis
Basketball is known for the vast amount of data collected for each player, team, game, and
season. As a result, basketball is an ideal domain to work on different data analysis …
season. As a result, basketball is an ideal domain to work on different data analysis …
[HTML][HTML] A unified machine learning framework for basketball team roster construction: NBA and WNBA
Abstract The National Basketball Association (NBA) is known for its luxury tax and unique
salary cap, which makes the selection of players crucial. Machine learning models are …
salary cap, which makes the selection of players crucial. Machine learning models are …
Higher dimensional sports statistics and real-time game prediction
X Yuan - Advances in Engineering Innovation, 2024 - ewadirect.com
The rapid expansion of comprehensive sports datasets and the successful application of
data mining techniques in various domains have given rise to the emergence of sports data …
data mining techniques in various domains have given rise to the emergence of sports data …