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Learner Reviews & Feedback for Matrix Methods by University of Minnesota

4.1
stars
234 ratings

About the Course

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....

Top reviews

TT

May 17, 2020

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

Aug 16, 2020

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.

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51 - 62 of 62 Reviews for Matrix Methods

By Sabrina B

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Aug 30, 2021

Fun course, but feels like they don't supply all the necessary information for the latter section of the course. Had to supplement with self found information to complete this course.

By Sean T

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May 7, 2021

I thought this course was not very helpful, especially in the SVD section. Just giving a bunch of readings on SVD was not very useful. I expected more of an explanation.

By Ulrich B

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Sep 10, 2022

The first half is ok, but the second half has no/less teaching assistance.

By Axel A R Q

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Jul 2, 2020

Falta mayor explicación y ejemplos

By sri p b r

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Sep 5, 2020

Excellent

By Daniel S

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Nov 23, 2021

This course is obviously home-made. Why the University of Minnesota permitted it to be uploaded to the Coursera platform is something I cannot fathom; it is by far the shabbiest course I have ever reviewed at Coursera. All topics presented are covered much more effectively in other courses. For example, SVD is covered by Nathan Kutz on his youtube AMATH channel, with applications. The economics of MOOCs is still a bit mysterious to me, but both Coursera and UMinn must financially benefit in at least some small way by having this content here, but why rely on Daniel Boley when we have Gilbert Strang, Nathan Kutz, Grant Sanderson, and many more teachers who actually care about imparting knowledge. If you look at his CV, Boley is research-oriented and obviously no longer cares a whit for teaching at this level. What we get is a review and a rather spotty one, at that, aimed at on-campus students in some other area at UMinn itself who have already mastered the topic.

By Ksenia E

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Apr 13, 2020

This course is really bad. There are a lot of mistakes in reading material and exercises. Videos are poor and not clear. Teaching stuff doesn't respond. The first two weeks were fine, but others are not. The last week doesn't have any videos at all. The reading material is from different sites and books and has no structure.

By Sarai C G P

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Nov 22, 2021

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

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Sep 14, 2020

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

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Apr 11, 2022

Video supplementary material is quite poor

By Dr C G

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Dec 5, 2020

No explanations.

By A B B ( Q

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Feb 22, 2021

bad taste!!