CIS 732 - Machine Learning and Pattern Recognition

Credits: 3

Theory and methodology of inductive learning, including decision trees, artificial neural networks, probabilistic and instance-based learning, and inductive logic programming; unsupervised and reinforcement learning, bagging and boosting; genetic algorithms and genetic programming; and applications to data mining.

Requisites
Prerequisite: CIS 501 or CIS 575.

Typically Offered
Fall

UGE course
No

K-State 8
None

KSIS Course Search

Kansas State University

Course Catalog

CIS 732 - Machine Learning and Pattern Recognition