Università Roma Tre

The course will provide tools for the analysis of big data (audio, video, text) generated by modern telecommunication systems and related services.
Principles of statistical inference are introduced in the first part of the course.
The theory of the main machine learnign techniques, including regression,linear classification, and dimensionality reduction, is then illustrated.
Deep learning techniques are then detailed, discussing convolutional netural networks (CNNs), recurrent neural networks (RNNs), and combinations of both. also advanced concepts such as siamese networks, object detection, generative models and adversarial networks are treated.
Practical exercises using Matlab and Python will be performed to show the application of the considered techniques to real-world scenarios.

Course slides.