The Machine Learning Laboratory is interested in building intelligent learning agents that act better as experience accumulates. Working from the foundations of learning in statistics, information theory and linguistics, the laboratory develops new algorithms for deep learning and reinforcement learning. In data mining it designs and implements algorithms and software for acquiring and deriving knowledge, and validates them across applications such as pattern recognition, bioinformatics, recommender systems, and web and social networks.