CMSC327
Machine Learning
Status
Active
Subject code
CMSC
Course Number
327
Department(s)
Description
The mathematics and computer programming underlying practical ma-
chine learning applications, and how to construct and evaluate the quality
of such systems. Linear and logistic regression, artificial neural networks,
support vector machines, K-means clustering. Other topics within Arti-
ficial Intelligence as time permits. Programming projects. Three lecture
hours and one laboratory hour per week.
chine learning applications, and how to construct and evaluate the quality
of such systems. Linear and logistic regression, artificial neural networks,
support vector machines, K-means clustering. Other topics within Arti-
ficial Intelligence as time permits. Programming projects. Three lecture
hours and one laboratory hour per week.
Min
1
Max
-
Prerequisites
CMSC 221 and MATH 211 (or MATH 212 or MATH 235) and MATH 245 all with a minimum grade of C-