The goal of this course is for students to learn the fundamental knowledge needed to design machine learning algorithms. Machine learning algorithms allow computers to automatically learn to recognize complex patterns from empirical data, such as text and web documents, images, videos, sound, sensor-data, and databases. This course is intended to give a broad overview of machine learning with a focus on fundamental design derivation, and implementation of machine learning algorithms. At the end of the course, students will have fundamental knowledge needed to design and implement new machine learning algorithms from first principles.

For a student to pass the course, at least 30% of the maximum mark for the examination AND course project must be obtained.