I took Dr. Ernest Fokoue’s course Data Mining (STAT 747) in my Master study in RIT and gained tremendous fascinating modern Statistical Machine Learning technique skills. I want to share the marvelous essence of this course and my self-learning and self-reflection towards this course.

This course covers topics such as clustering, classification and regression trees, multiple linear regression under various conditions, logistic regression, PCA and kernel PCA, model-based clustering via mixture of gaussians, spectral clustering, text mining, neural networks, support vector machines, multidimensional scaling, variable selection, model selection, k-means clustering, k-nearest neighbors classifiers, statistical tools for modern machine learning and data mining, naïve Bayes classifiers, variance reduction methods (bagging) and ensemble methods for predictive optimality.

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