University of Houston 3 credits MATH
Prerequisite: MATH 3339 or MATH 3349 . Description Theory and applications for such statistical learning techniques as maximal marginal classifiers, support vector machines, K-means and hierarchical clustering. Other topics might include: algorithm performance evaluation, cluster validation, data scaling, resampling methods. R Statistical programming will be used throughout the course Repeatability: No
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