Comp Sci 5402: Data Mining & Machine Learning
Classical and modern data mining and machine learning algorithms; data preprocessing/warehousing, mining association rules, classification/prediction methods, clustering techniques, Bayesian networks; unsupervised/supervised/reinforcement learning, learning decision trees, artificial neural networks, support vector machines, and ensemble learning.
Time/Day: 09:30 am - 10:45 am TR Prerequisites: : A "C" or better in both Comp Sci 2300 and one of Stat 3111, Stat 3113, Stat 3115, Stat 3117. Units: 3 Course Component(s): Lecture |
|
Attention Distance Students
For VCC produced video: Links to live and archived media are in Canvas. Additionally you can go directly to vccmedia.mst.edu.
For other course content: please contact your instructor.
Enrollment Information | ||||
Campus | Delivery Mode | Class Status | Class Nbr | Section |
Distance Education | Internet | FULL | 72516 | 1DIS |
Course Access Information | ||||
Learning Management System | Canvas |