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. 

 Credits: 3.

 When Offered: Fall semester.

 Prerequisites: SCS 290  and SMA 205 .