Machine Learning via Artificial Neural Networks (ANNs) is often introduced in a one-semester course on Artificial Intelligence. Baseball’s annual Hall of Fame election provides a simple, tractable, data-rich domain for learning how to use ANNs for predictive analytics. We describe how we use the Fast Artificial Neural Network (FANN) toolkit for a course assignment that predicts which players are likely to be elected to Baseball’s Hall of Fame.
Hansen, David, "Introducing Machine Learning via Baseball's Hall of Fame" (2015). Faculty Publications - Department of Electrical Engineering and Computer Science. Paper 3.