Predictive Modelling for Football Analytics by Leonardo Egidi (.ePUB)+
File Size: 20.9 MB
Predictive Modelling for Football Analytics (Data Science Series) by Leonardo Egidi, Dimitris Karlis, Ioannis Ntzoufras
Requirements: .ePUB, .PDF reader, 20.9 MB
Overview: Predictive Modelling for Football Analytics discusses the most well-known models and the main computational tools for the football analytics domain. It further introduces the footBayes R package that accompanies the reader through all the examples proposed in the book. It aims to be both a practical guide and a theoretical foundation for students, data scientists, sports analysts, and football professionals who wish to understand and apply predictive modelling in a football context. Although technical in nature, the book is designed to be accessible to readers with a background in statistics, programming, or a strong interest in sports analytics. It is well-suited for use in academic courses on sports analytics, Data Science projects, or professional development within football clubs, agencies, and media organizations. This text is primarily for senior undergraduates, graduate students, and academic researchers in the fields of mathematics, statistics, and Computer Science willing to learn about the football analytics domain.
Genre: Non-Fiction > Tech & Devices
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