Mathematical models for machine learning and pattern recognition

In this tutorial, we provide an in depth analysis of some important issues within the field of Machine Learning and Pattern Recognition. We intend to reflect recent developments and provide a comprehensive introduction to some fundamental issues pertaining to the field of machine learning and pattern recognition. We target advanced undergraduates or first year Ph.D. students as well as researchers and practitioners. The mathematical models covered during this tutorial include Machine Learning for Pattern Recognition, Hidden Markov Models and feature space Dimensionality Reduction. MATLAB projects are provided as experiments to the theory covered.