College

College of Engineering

Department

Computer Engineering Department

Degree Name

BS in Computer Engineering

Date

6-2019

Advisor(s)

Davide Falessi

Abstract/Summary

I was inspired to work on this project by the book “Moneyball” by Michael Lewis. The book discusses the advancements made in sports analytics, and it gave me the idea to take Major League Baseball analytics to the next level. Machine learning and artificial intelligence is the future of many industries, but analytics and statistics is a clear starting point. I decided to combine the power of neural networks with traditional baseball statistics to predict the win totals of teams. Ideally, this information would be used to inform teams on where they need to improve to secure more wins. This project lies at the intersection of sports, statistics, and computer science, which all appeal to my interests. This is also a project that I can continue working on past graduation, potentially transitioning it into a full-sized application and maybe even a product.

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