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.
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Matrix Methods
Universidade de MinnesotaUniversidade de MinnesotaInformações sobre o curso
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Programa - O que você aprenderá com este curso
Matrices as Mathematical Objects
Matrix Multiplication and other Operations
Systems of Linear Equations
Linear Least Squares
Avaliações
- 5 stars55,45%
- 4 stars20%
- 3 stars9,54%
- 2 stars7,27%
- 1 star7,72%
Principais avaliações do MATRIX METHODS
Couresa is very helpful of learning skill about matrix .this is very helpful for me
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.
Course is well designed and gives application knowledge of matrices and decomlosition of matrix by SVD method.
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