AIS 103 - Machine Learning Basics

Machine Learning Basics introduces the fundamental concepts of machine learning including supervised and unsupervised learning. Students will practice techniques such as regression, classification and clustering and the basic metrics for model evaluation. Practical exercises will reinforce concepts and allow students to build models using Python.  
Credits: 3
Prerequisite(s): CSC 109 , MAT 127