eigen vector and eigen values part is not explained briefly other than that course is just amazing.

Very basic, some interesting topics are omitted. But visualizations are good.

Eigen Values and Eigen Vectors wasn't explained in great details

the grading criteria is not accurate, slides are not so clear

too easy

This course was not helpful to me. I didn't really understand what I was achieving in the last lab and although I passed all the quizzes, I found myself going to external resources constantly for answers. It's this weird mix of overly simplified metaphors and then slides that truncate the mathematical steps they show which left me at least having to pause it and figure out what happened. IDK.

Section on Eigenvalues is terrible. Makes zero sense. You never once even mention the word "eigenbasis" in the curiculum and now it's on the quiz. "contrust the eigenbasis". WTF is "contrust"? What am I paying you for if not to explain these things. "Google it." is a lazy answer. I'm taking these courses so I can build an AI education platform that makes you obsolete.

The intuition (for ML & DS) was not established; the explanations were often thin; maybe drop the "for ML and DS" part off the description?

Not possible without knowing Python 3 already. Also doesn't really talk about ML so I don't know how any of this is applicable to ML.

Los laboratorios de python son complejos para una persona que recien empeza a programar, un ejemplo de eso se ve en la tara C1W2

This course is kind of unstructured and the assignments and quizzes contain lots of uncovered content.

Material is not complete explaint. There are not Hins in Labs.

eigenvalues and vectors were poorly explained

Too confusing

Completed all the way up through the last assignment in week 3 with 100% on all assignments and quizzes. Completed all but the very last question in the programming assignment with matching "Expected Output" and "All Tests Passed" , and pasted the "#grade-up-to-here into the cell second to last cell. I have submitted many times, receiving anywhere from 0-50%. Have emailed support, and never even received a generic response that it was received. Very frustrated and tempted to leave Coursera forever. :(

Sin ninguna duda aprenderás más en youtube, que aquí. Lo unico que puedo decir es que cada día que pasa me arrepiento de haber tomado este curso, pensé que sería distinto. Los laboratorios son lo peor, solo es texto y nada más. Incluso puedo decir que existen mejores cursos que te explican el área matemática junto con la programación a la par, en cambio aquí la toman por separado, deficiente... No lo recomiendo por ninguna manera. Mejor anda a youtube y encontraras mejores cosas

The course is too basic and too shallow. Usually, I am thinking that explaining things in a simpler way is better. Though the course completely ignores academic abstractions therefore I cannot recommend it for people without math background. As a refresher was not that bad.

this course is not well structured for beginners, it is not taught well with details. the instructor goes over the concepts in short manner, then quiz you and also quiz you in python numpy library, the order of topics is not correct in my opinion

Very poor explanation. The tutor more practises tongue twisters, than actually explains anything. You'll definitely need other sources of information to understand the topic.

worst experience i have ever had with a course on coursera. because of the week 3 lab assignment errors i could not finish the course.

Teaching is hard to understand. It is not as good as described in the teacher's introduction.

The course doesn't cover detailed computation but those were tested in assignments

only 1 star because, the quiz labs are not working properly.

Worst Linear Algebra course with all wrong coding solutions.

Last week 4 assignment didn't submitted