ENGIN 237A
An Introduction to the Basics of Machine Learning
This course will introduce linear algebra, and cover some fundamental algorithms in machine learning including least squares, orthogonal matching pursuit and ridge regression. We will talk about the concepts of validation and testing. This is not intended to be an advanced machine learning course, but more a mathematical course to build out the basic background.
Topics
- The course objectives are to give students the firm grounding in linear algebra that is necessary as a foundation for any machine learning work.
- Students will be able to understand the fundamentals of linear algebra and have exposure to the basic/most commonly used machine learning techniques from a mathematical perspective.
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
{'preRequisiteCourse': '1144961', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1144962', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027