Advanced Data Mining

Catalog description

(Fall, even years.) This course provides in-depth coverage of techniques for extracting meaningful patterns from large datasets, including supervised and unsupervised learning methods. The course emphasizes both theory and practical applications of data mining in real-world scenarios. M 221 , a probability/statistics course, and working knowledge of either R or Python are recommended.