ITAI 1371 - Introduction to Machine Learning

Credits: 3

This introductory course gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with solutions for single task deployment (like vacuum a room). The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is a statistical inference as it provides the foundation for most of the methods covered.

Lecture: 2
Lab: 4
Prerequisite(s): MATH 1314.