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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This has been a helpful course. I had the chance to learn about practical applications of matrices.
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