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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明尼苏达大学
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授課大綱 - 您將從這門課程中學到什麼
Matrices as Mathematical Objects
Matrix Multiplication and other Operations
Systems of Linear Equations
Linear Least Squares
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來自MATRIX METHODS的熱門評論
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
Succinct, informative, efficient. Thank you, Dr. Boley.
Really its very informative and basic material provided. I enjoyed and learn a lot
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