Statistical Modelling I - M2S2
Traditional concepts of statistical inference, including maximum likelihood, hypothesis testing and interval
estimation are developed and then applied to the linear model that arises in many practical situations.
Machine Learning - M4S18A2
Introduction to statistical pattern recognition and machine learning. Methods for feature extraction,
dimensionality reduction, data clustering and pattern classification. State-of-art approaches such as support
vector machines and ensemble learning methods. Real-world applications to real data sets.