Rutgers University 3 credits Statistics
Introduction to machine learning methods from a statistical perspective. Both traditional methods such as logistic regression, naive Bayes classification, and discriminant analysis as well as more recent statistical methods such as regularization, boosting, and random forests will be applied to datasets of varying size. The emphasis will not be on programming the techniques from scratch but on understanding and applying the methods using a high level language such as R. Prerequisite: Level II Statistics.
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