Machine learning is the science of getting computers to act without being explicitly programmed. This unit provides you with a broad introduction to machine learning and its statistical foundations. Topics include: definition of machine learning tasks; classification principles and methods; dimensionality reduction/subspace methods; graphical models; and deep learning. Application examples are taken from areas such as computer vision, finance, market prediction and information retrieval.