Sports Analytics - Graphing, Stratification, Correlation, and Causation

Sports Analytics Methods – Graphing, Stratification, Correlation, and Causation

This is a review of the graphing, stratification, correlation, and causation research conducted by Barry Smyth. The marathon is a grueling 26.2 miles and is often considered the iconic endurance event.  Every year millions of runners, both elite and recreational, participate in marathons around the world.  The goal for some is just to finish the…

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…