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, training, inference and linear regression ending up with solutions for single task deployment (like to vacuum a room). The course will give students the fundamental ideas and intuition behind modern machine learning methods as well as a more formal understanding of how, why, and when to apply them. The underlying theme in the course is a statistical inference, as it provides the foundation for most of the methods covered. Machine Learning is a core capability.

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