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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.
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Time/Day: 11:00 am - 11:50 am MWF 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 |
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| Enrollment Information | ||||
| Campus | Delivery Mode | Class Status | Class Nbr | Section |
| Distance Education | Internet | OPEN | 73224 | 1DIS |
| Course Access Information | ||||
| Learning Management Software | Blackboard | |||
Attention Distance Students: Live and archived streaming available through the Learning Management Software (LMS) indicated above.
