Sports Analytics - Ordinary Least Squares Regression

Sports Analytics Methods – Ordinary Least Squares Regression to Measure Impact of Diversity in Soccer

This is a review of the research conducted by Keith Ingersoll, Edmund Malesky, and Sebastian M. Saiegh applying ordinary least squares regression. Diversity is a hot topic across all aspects of society, including sports. Teams need to balance the costs and benefits of diversity. Costs include dealing with language and cultural barriers while benefits are…

Sports Analytics - Supervised and Unsupervised Learning

Sports Analytics Methods – Supervised vs Unsupervised Learning

It’s a great day in sports analytics! Our topic of discussion for today is supervised and unsupervised learning. Within machine learning, there are two main types of tasks: supervised and unsupervised. Today, we’ll learn what is supervised learning and how it relates to unsupervised learning. Coaches and sports analysts use the data mining process of supervised and unsupervised learning techniques to group players or…