Sypnosis: MANN 2103 Machine Learning System

MANN 2103 Machine Learning System
Machine learning is concerned with computer programs that automatically improve their performances based on past data and solutions. The course covers the theory and practice of machine learning from a variety of perspectives. By the end of the course, the students will now methods and algorithms for supervised learning and unsupervised learning, inductive learning, statistical learning, reinforcement learning, learning with artificial neural networks and genetic algorithms, learning set of rules. The learning applications that will be presented cover several domains, for example pattern recognition, statistics, optimization and control, decision theory, planning and prediction, data mining.