ELEC 378: MACHINE LEARNING CONCEPTS

Spring 2027 · Section 001 · CRN 22801

This course deals with machine learning, from its theoretical mathematical foundations to practical implementation in computer algorithms for data science applications. The course follows a deterministic rather than probabilistic approach to focus on the key concepts; linear algebra plays a starring role.

Credits
3
Instructors
Richard G Baraniuk

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