The University of Cyprus's MSc Artificial Intelligence is part of the Master programmes in Artificial Intelligence 4 Careers in Europe (MAI4CAREU). One of Master's programme's courses, MAI612 - Machine Learning is split up into several lectures. Taught by Vassilis Vassiliades, PhD, the fourteenth lecture of the MAI612 - Machine Learning course focuses on Anomaly Detection.

Learning outcomes

• The problem of anomaly detection and its difference with binary classification
• The concept of density estimation and how to use it for anomaly detection
• How to fit the parameters of a Gaussian probability density
• Building an anomaly detection model using kernel density estimation, one-class SVMs, isolation forests and autoencoders
• How to evaluate anomaly detection systems