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Machine learning

401335 - Machine learning
Faculty

Faculty of Information Technology

Department

Computer Science

Credit Hours

3

Pre-requisite

401221

Co-requisite

-

Distribution

3+0
Machine learning trends are being adopted in a wide range of technologies. This course provides a broad introduction to the fundamental methods of machine learning. The course discusses the theoretical foundation of machine learning techniques for supervised (clustering, dimensionality reduction, kernel methods), unsupervised learning (clustering, dimensionality reduction, kernel methods) in addition to machine learning algorithms. Finally, the course will improve students practical skills by designing and developing recent machine learning applications.