Learning outcomes of the course unit:
By completion of the subject Artificial Intelligence and Data Processing, a student gains knowledge on artificial intelligence, the theory and applications of machine learning and data processing. The subject offers systematic approach to the best known methods of machine learning, especially neural networks. Methods of signal processing, analysis and recognition are systematically studied. Course Contents:
1D and 2D data processing and analysis in time and frequency domain, convolution, Fourier transform, filtering, image reconstruction.
Pattern recognition.
Principles of artificial intelligence, machine learning, and neural networks.
Conventional and deep neural network architectures and learning.
kernel methods, support vector machines, clustering, conventional and deep neural networks and learning.
