Introduction to Machine Learning

This course is an elective aimed at 2nd (or 3rd) year BSc EE students. During the course students are exposed to the basics of machine learning (ML) suited for electrical engineering students. The topics include: Mathematical optimisation, regression and classification, linear unsupervised learning, neural networks and tree-based learners. We will use the Python programming language in this course.