Computational Linear Algebra
University of Minnesota-Twin Cities | Minneapolis, MN
Led an interactive workshop on advanced matrix decomposition methods for Computational Linear Algebra students. Covered eigenvalue decomposition, singular value decomposition (SVD), and their applications in machine learning and data science. Students implemented algorithms in Python and MATLAB, exploring practical applications in dimensionality reduction, image compression, and principal component analysis.