Rabeah Al-Zaidy

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ICS 557: Advanced Machine Learning

This course provides students with an in-depth understanding of machine learning algorithms and their mathematical components as well as machine learing applications in real life problems. Topics covered include: Linear and logistic regression. Regularization. Generalized linear models. Learning theory. Support vector machines. Kernel methods. Principal component analysis. Independent component analysis. Hidden Markov models. Random forests. Design of learning systems. Recommender systems. Online Learning. Ensemble learning models. Bootstrapping techniques.