Oregon State University 4 credits AI
Focuses on the why and how advanced matrix analysis tools can solve signal processing (SP) and machine learning (ML) problems. Covers both the fundamental concepts of advanced linear algebra and their applications in the broad areas of signal processing and machine learning. Offers an in-depth close look at a series of core tasks in SP and ML that are enabled by analytical and computational tools in matrix analysis. Introduces frontier research in nonnegative matrix factorization and tensor analysis.
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