Advanced Topics in Machine Learning (Competence)

'The course introduces advanced topics in machine learning and their applications to real-world problems. Sample topics include: data driven modelling, dataassimilation, convex learning problems, regularization and stability, multiclass predictors, dimension reduction, feature selection and generation, graphical models, hidden Markov models, Gaussian random field, reinforcement learning,deep learning.'