This course introduces machine learning, the study of algorithms that improve automatically through experience. Applications and techniques are selected from a wide area, ranging from learning under uncertainty, neural networks, user behaviour anticipation, natural language processing, vision, and robotics to data mining programs that discover general rules in large data sets.<br/><br/>Prerequisites - 1005ICT Object Oriented Programming (formally named Programming 2), 2400ICT Discrete Structures 2 (or 2402ICT Discrete Mathematics from 2013) AND 2508ICT Principles of Intelligent Systems -- Course Website
