Special Topics: Introduction to Machine Learning

Course content

This course provides a broad introduction to machine learning. The topics include supervised and unsupervised learning, Bayesion inference/classification, regression, clustering, kernels and Support Vector Machines (SVM) and accompanying concepts such as model and feature selection, combining classifiers such as boosting, active learning, dimension reduction techniques.