Credit Hours:3.00 Lecture Contact Hours:3.0 Lab Contact Hours: 0.0Prerequisite: Probability/Statistic and linear algebra or consent of instructor. Students must be in Master’s in Statistics and Data Science program.
Automatic classification and clustering of data: k-means, k-medoids, tree based classification. Empirical use of support vector machines. Applications to real data will be studied via multiple projects.