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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There are 5 modules in this course
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3 videos2 readings3 assignments
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3 videos2 readings3 assignments
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4 videos3 readings4 assignments
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4 videos2 readings5 assignments
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2 readings3 assignments
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IIT Roorkee
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The Hong Kong University of Science and Technology
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Reviewed on Jun 1, 2020
Very good course, the questions are really challenging...
Reviewed on Apr 21, 2020
Its a very good experience for me and it helps me to learn new topics and known new matters.Thank You Coursera.
Reviewed on Sep 1, 2022
This has been a helpful course. I had the chance to learn about practical applications of matrices.

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