Date on Honors Thesis
Winter 12-1-2023
Major
Computer Science
Minor
Computer Information Systems
Examining Committee Member
Dr. Jason Owen, Advisor
Examining Committee Member
Dr. Matthew Tennyson, Committee Member
Examining Committee Member
Dr. Hassan Mistareehi, Committee Member
Abstract/Description
Artificial Intelligence (AI) is an ever-evolving field, transforming various aspects of contemporary life. From language models to immersive gaming experiences, AI technologies have become integral to our daily existence. Among the most promising arenas for AI integration is the world of sports. This research delves into the application of machine learning models to predict NBA game outcomes, shedding light on the profound impact of machine learning in the realm of professional basketball. Beyond the scope of game prediction, this study explores the broader implications, such as optimizing the selection of televised games, assisting players in showcasing their skills, and much more. By demonstrating the versatility and potential of predictive machine learning in professional basketball, this research contributes to the ongoing discourse on AI's transformative role in this dynamic industry.
Recommended Citation
Harmon, Zachary, "Predictive Machine Learning and Its Future in Professional Basketball" (2023). Honors College Theses. 202.
https://digitalcommons.murraystate.edu/honorstheses/202
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.