Machine Learning for Data Mining

This course concentrates on classification-oriented tools for data mining. Topics will include support vector machines, neural networks, regression trees, bagging, boosting and additive trees, nearest-neighbors methods, and cluster analysis. Students will implement these techniques on big-data case studies throughout the semester. Examples will include instances of both supervised and unsupervised learning.

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