MAI4CAREU - Machine Learning: Anomaly Detection
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
Learning content
Website link
Target audience
Digital skills for ICT professionals and other digital experts.
Digital skill level
Geographic scope - Country
Austria
Belgium
Bulgaria
Cyprus
Romania
Slovenia
Croatia
Czech republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Italy
Ireland
Malta
Latvia
Lithuania
Luxembourg
Netherlands
Portugal
Poland
Sweden
Spain
Slovakia
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