BIF515H Machine Learning

[3–0, 3 cr.]

This course provides an overview of popular algorithms in machine learning. Topics include supervised learning, linear and polynomial regression, classification algorithms, gradient descent, unsupervised learning, instance-based learning, neural networks, and genetic algorithms and boosting. The course requires some knowledge of artificial intelligence, and good programming skills. The theoretical aspects of the algorithms will be studied, and assignments will be given to test their applicability.

Prerequisite: Senior Standing.

Note: This course has not been taught since Fall 2021 and will not be taught during the academic year 2023-2024.