Soccer Analytics with Machine Learning
Learning Predictive Modeling Techniques with Sports Data
$134.43
- Paperback
300 pages
- Release Date
7 July 2026
Summary
Struggling to grasp machine learning concepts or unsure how to apply them in the real world? This book aims to change that by using the world’s most popular game-soccer-to illuminate key concepts in predictive modeling and data science. Whether you’re a complete beginner or you’re interested in entering the burgeoning field of sports analytics, you’ll develop a solid foundation in machine learning through engaging examples that bridge academic principles with practical applications.
W…
Book Details
| ISBN-13: | 9781098181116 |
|---|---|
| ISBN-10: | 1098181115 |
| Author: | Haipeng Gao |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 300 |
| Release Date: | 7 July 2026 |
| Dimensions: | 178mm x 232mm |
You Can Find This Book In
Haipeng Gao
Haipeng Gao is a data science and machine learning expert with extensive industry experience building and optimizing large-scale machine learning systems at leading technology companies, including LinkedIn, TikTok, and PayPal. He holds a PhD in Statistics and Operations Research from the University of North Carolina at Chapel Hill, has taught statistics and probability at UNC Chapel Hill and San Jose State University, and holds multiple AI/ML patents granted by the U.S. Patent and Trademark Office.
Ari Joury is a data scientist and entrepreneur working at the intersection of machine learning, causal inference, and applied analytics. He is the founder and CEO of Wangari Global, where he builds AI systems for decision support in finance, insurance, and sustainability, with a focus on interpretable models and real-world impact. Trained originally as a theoretical particle physicist, he later transitioned into applied data science and quantitative modeling. Ari holds a PhD in Physics and an MBA.
Weining Shen is an associate professor of statistics at the University of California, Irvine. His research focuses on machine learning, Bayesian statistics, sports analytics, and large language models. Dr. Shen has published more than 70 papers in leading statistics journals and at premier machine learning conferences. He earned his PhD in Statistics from North Carolina State University.
Guanyu Hu is an associate professor at Michigan State University. His research focuses on spatial statistics, Bayesian nonparametric methods, and sports analytics. He has led multiple NSF-funded projects and published more than 50 papers in leading statistics journals and machine learning conferences. Dr. Hu serves as an associate editor for several prominent journals, was chair of the American Statistical Association’s Statistics in Sports Section in 2024, and is one of the organizers of the American Soccer Insights Summit. He received his PhD in Statistics from Florida State University.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.