2- Course Aim :-

The course covers advanced topics in pattern recognition and machine learning. This course focuses on Study of the extraction of concepts from large high-dimensional datasets, Statistical foundations; techniques such as supervised neural networks, unsupervised neural networks, decision trees, association rules, Bayesian classifiers, inductive logic programming, genetic algorithms, singular value decomposition, hierarchical clustering.