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LifestyleMatrix Methods
Created by: Daniel Boley
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Course Description
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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- Video Duration:
11h - Price: Free
- Provider: Coursera
- University:
University of Minnesota - Language:
English - Certificate:
Yes
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