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
What's included
3 videos2 readings3 assignments
What's included
3 videos2 readings3 assignments
What's included
4 videos3 readings4 assignments
What's included
4 videos2 readings5 assignments
What's included
2 readings3 assignments
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Recommended if you're interested in Math and Logic
IIT Roorkee
The Hong Kong University of Science and Technology
University of Minnesota
Johns Hopkins University
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Reviewed on Apr 20, 2020
Its a very good experience for me and it helps me to learn new topics and known new matters.
Reviewed on Dec 26, 2020
Succinct, informative, efficient. Thank you, Dr. Boley.
Reviewed on Nov 17, 2019
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