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Khalil M El Hindi

Professor

Faculty memeber

علوم الحاسب والمعلومات
Room 2189, Building 31
مادة دراسية

CSC 563 Neural Networks and Machine Learning Applications

Introduction to inductive learning and decision trees, Neural Networks, Backpropagation  algorithm, Deep Neural Networks (Recurrent Networks and Deep Belief Networks), Self-Organizing Maps, Rule Induction, Bayesian Learning, Instance Based Learning, Ensembles of classifiers (Bagging Bossting, Stacking), Clustering, Association Rules, Regression.

ملحقات المادة الدراسية