What makes sports analytics difficult, compared to other data analysis problems, and how can machine learning be used to develop new approaches to these challenges?

Oliver Schulte will describe some applications of machine learning techniques in sports analytics, that offer different strengths and weaknesses than more traditional statistical modelling.

The talk focuses on how reinforcement learning addresses a key problem in sports analytics: Predicting the future success of a team given the current state of a match.