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Matrix Methods に戻る

ミネソタ大学(University of Minnesota) による Matrix Methods の受講者のレビューおよびフィードバック

4.7
10件の評価
1件のレビュー

コースについて

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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Matrix Methods: 1 - 1 / 1 レビュー

by 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.