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Kursteilnehmer-Bewertung und -Feedback für Matrix Methods von University of Minnesota
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Über den Kurs
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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von Denis B
•Nov 18, 2019
Pros and cons.
Sometimes it's hard to find in this course needed information to solve Assignments.
But you have to dig deeper from outside sources.
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