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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

4.1
210件の評価
56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....

人気のレビュー

TT

2020年5月17日

This Course content is very good and has good real-time examples. However, the Instructor should add a few videos on SVD, Maximum dilation, and Shrinkage and Direction of Maximum Dilation.

MP

2020年8月16日

Thank you so much for giving me this opportunity to learn about matrix methods. This is helpful for my career and it is useful to all the beginners.

フィルター:

Matrix Methods: 51 - 55 / 55 レビュー

by Sarai C G P

2021年11月22日

Please do not ever take this course, there's like five videos of 4 minutes each and they're kinda old...

no ofense, but i think there are way to better courses out there

by Julian C

2020年9月14日

Lecture and reading materials and very brief and don't cover all the topics on the assignments & quizzes. There are no lectures on SVD.

by Husnu S H

2022年4月11日

Video supplementary material is quite poor

by Cor v H

2020年12月5日

No explanations.

by Amsalu B B

2021年2月22日

bad taste!!