STA 9891
Machine Learning/Data Mining · 3 credits · Spring 2027
Requirements
Prerequisite: STA 9705
About this course
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.
Seat status as of Oct 2, 10:36 AM ET. Seats can change between refreshes.
No sections have been posted for this course in this term yet.