This course aims to familiarise the students with theoretical and practical issues involved in Machine Learning, including supervised, unsupervised and reinforcement learning. It concentrates in Neural Networks, including Deep Learning, which are the fields forming the foundation of modern Artificial Intelligence, with the students implementing and assessing Machine Learning systems.
