SCS 235 - Machine Learning (Computer Science)

3 Credit(s)

A first course in machine learning and artificial learning. Topics include: data preparation, information-based learning, the ID3 algorithm, nearest-neighbor algorithm, probability-based learning, Bayes’ theorem and prediction, multilinear regression-gradient descent method, and misclassification rate.

When Offered: Fall semester.
Prerequisite(s): SCS 290 and SMA 205.