Machine learning is all about finding patterns in data to get computers to solve complex problems. In this course we study machine representations and algorithms that allow machines to improve their performance on a defined task from experience. This course is a broad overview of existing methods for machine learning and an introduction to adaptive systems in general. Emphasis is given to practical aspects of machine learning algorithms, with a specific focus on the cyber domain.
Course Units
3