Basketball data science : with applications in R /
Title
Basketball data science : with applications in R / Paola Zuccolotto, Marcia Manisera ; with contributions by Marco Sandri ; foreword by Ettore Messina.
xxiii, 219 pages : illustrations (some color); 24 cm.
Summary
"This book will deal with statistical analysis of basketball data, with special attention to the most recent advances. The book will be of use to statisticians and machine learning experts who want to work in the basketball field. Readers will be able to create graphs and analyses thanks to some new R functions that will be illustrated in the book. The authors focus on how these selected statistical methods and data mining algorithms can be applied in basketball to solve practical problems, with literature review and examples. Each chapter will contain one or more selected case studies, concerned with modern issues"--
"A Chapman & Hall Book" -- taken from front cover.
Bibliography (note)
Includes bibliographical references and index.
Contents
Data and basic statistical analyses -- Discovering patterns inletdata -- Finding groups in data -- Modeling relationships in data -- The R package BasketballAnalyzeR.