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This course will provide students pursuing a graduate degree in data science with essential tools of linear algebra. The course will focus on applications of linear algebra to machine learning. Topics will include systems of linear equations, matrix and vector operations, norms, inverses, determinants, matrix decomposition, tensors and tensor operations, eigenvalues and eigenvectors, and principle component analysis. Additional topics may be included.
