LE/EECS 3405 (3.00)

Fundamentals of Machine Learning

Description

This course introduces fundamental machine learning concepts and techniques in a rigorous way to illustrate how basic machine learning methods are constructed from the underlying motivations and mathematical principles. It also explores in depth how to formulate machine learning problems and how to implement basic machine learning systems to solve various problems from diverse real-world application domain. The course emphasizes the mathematical foundations of machine learning as well as practical experience in implementing machine learning algorithms. Pre-requisites: LE/EECS 2030 3.00 or LE/EECS 2031 3.00 or LE/EECS 2032 4.00 or LE/EECS 1516 3.00; SC/MATH 2030 3.00 or SC/MATH 2930 3.00 or SC/MATH 1131 3.00; SC/MATH 1025 3.00 or SC/MATH 1021; SC/MATH 2015 3.00 or SC/MATH 2310 3.00. Course Credit Exclusions: LE/EECS 3404 3.00 and LE/EECS 4404 3.00.

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