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Learner Reviews & Feedback for Matrix Methods by University of Minnesota

4.1
stars
238 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

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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.

LF

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Succinct, informative, efficient. Thank you, Dr. Boley.

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51 - 63 of 63 Reviews for Matrix Methods

By Rituraj N

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Jan 3, 2022

The lectures could be more engaging and more topics could certainly be covered. This course on matrix is too sparse!! Also, strangely, there were no lectures for the final week - only links were provided for reading materials.

By Zuleica T

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Mar 24, 2021

The topics of the course are good, nevertheless, the videos need explain all the topics in detail because, sometimes is hard to understand just reading the pdf materials.

By Mandar N

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Jul 9, 2020

Great examples and a lot of reading material. More videos on SVD would have helped

By DUNDI J T

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Apr 28, 2020

i feel there should be solved examples for learners,,

By Carlos F

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Nov 16, 2021

I found the course very unbalanced and without much effort applied to it.

Some parts were easy to understand - the worked examples helped a lot, while others, with less videos and based on links, required a lot of work, namely because of the specific terminology used.

Some of the critical links, namely for those sections without videos, are not working anymore, which definitely was a cause of major waste of time looking for additional resources, that were not even using some of the key terminology as that used in the assignments.

As cited by many other people, tutor(s) were not seen in any of the Forum Q&A.

This is not a course I would have taken had I known otherwise.

By Justin M

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Nov 19, 2021

I wouldn't take this course. I would give a 1 star review if I wasn't so desperate for courses on linear algebra. I'm happy with the methods covered, and I found the first 2 weeks useful practice. However, it seems like the professor spent about 2 hours making the course. There's only about 30 minutes of content, with most of the learning coming from self-study of linked content on other websites. And week 5 doesn't even have any videos, just links to someone else's tutorials.

By Byron H D

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Mar 2, 2020

I did learn some things, so I hate to review the course harshly, but there were numerous errors in the quizzes which have been there for a long time (based on forum comments) and have not been addressed. If completely redone and troubleshot the course has potential but as it stands it really isn't up to Coursera standards.

By Raffaello Z

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Apr 23, 2020

the course topics are interesting, unfortunately a video on week 5 would have been very important.

there are several errors in the test which made completing the test unnecessary difficult.

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 4, 2020

Excellent