Machine Learning I

Catalog description

Classification learning systems of various types are explored. These include statistical pattern recognition, neural networks, genetic algorithms, and methods for inducing decision trees and production rules. Industry standard ML modules are utilized. Group term projects allow development of and experimentation with small ML solutions of interest. Prerequisites: COS 121; MAT 210 or MAT 352; and COS 314 or MAT 345. COS 265 is strongly recommended.