Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.
Matrix MethodsUniversity of Minnesota
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TOP REVIEWS FROM MATRIX METHODS
This has been a helpful course. I had the chance to learn about practical applications of matrices.
IN assignment 1 please check the question and choices . all the assignments and tutorial are excellent
Course is well designed and gives application knowledge of matrices and decomlosition of matrix by SVD method.
It was a great opportunity to know more abut matrices and their characteristics
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