Asynchronous Advantage Actor-Critic

Association Rule Learning is a machine learning technique used to identify fascinating relationships or patterns among variables within large datasets. It uncovers rules that highlight how the presence of certain items predicts the occurrence of others, commonly applied in market basket analysis to find product associations, thereby aiding decision-making and optimizing sales strategies.