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 Methodsミネソタ大学（University of Minnesota）
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MATRIX METHODS からの人気レビュー
Succinct, informative, efficient. Thank you, Dr. Boley.
Very good course, the questions are really challenging...
It was a great opportunity to know more abut matrices and their characteristics
Really its very informative and basic material provided. I enjoyed and learn a lot