ECE 411
Introduction to Machine Learning
Section: 401

Course Description

Learning from experience is one of the hallmarks of intelligence. Machine learning is the study of computer algorithms that improve automatically through experience. Machine learning, a subfield of artificial intelligence (AI), has achieved remarkable progress over the past decade, especially in deep learning. This course introduces fundamental concepts and algorithms that are vital for understanding state-of-the-art and cutting-edge development toward the next wave of AI. This course also exposes students to real-world applications via well-guided homework programming problems, as well as group projects. Topics include, but are not limited to optimization, linear statistical models, kernel regression, support vector machines, boosting machines, and deep neural networks.

Fall 2024

Instructors

Meeting Patterns

Classes Start:
August 19, 2024
Classes End:
December 3, 2024
Location:
01229 Engineering Building 2
Class Days:
F
Class Start Time:
12:50pm
Class End Time:
1:40pm

Class Type:
Discussion
Credits:
0.00
Restrictions:
P: (ECE 301 or ISE 361 or MA 341 or CSC 316) and (ST 370 or ST 371) R: Students may not receive credit for both CSC 422 and ECE 411.