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 MethodsМиннесотский университет
Об этом курсе
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Лучшие отзывы о курсе MATRIX METHODS
It was a great opportunity to know more abut matrices and their characteristics
This Course content is very good and has good real-time examples. However, the Instructor should add a few videos on SVD, Maximum dilation, and Shrinkage and Direction of Maximum Dilation.
Couresa is very helpful of learning skill about matrix .this is very helpful for me
Course is well designed and gives application knowledge of matrices and decomlosition of matrix by SVD method.
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