An organized course, great for developing the imagination of mathematics and fun.

Really intuitive course on matrix algebra with very clear geometric explanations.

Good overview. I definitely had to go to outside material for the Row Reduction.

A good introduction, would recommend referring a textbook along with the course.

The programming grading system doesn't work well, but the course is great anyway

Excellent, but for the pagerank part, the instructor teaches a little bit fast.

it is really useful to help me build geometric meaning with vector and matrix.

The course will help us to apply the matrices for machine learning algorithm.

Some of the autograding wasn't great but the discussion forums helped a lot

after learn from this course, i know very well about machine learning

thanks.

A good course for gaining knowledge for Linear Algebra for machine learning.

Good course, But I think it should explain more about the underlying things.

It is not basic course and requires prior knowledge of the topis discussed

Overall is good. But somehow, there are parts that I don't understand well.

the course is excellent. I have learned a lot and it was very interactive.

Was a but fast. For non engineering or people who are new it will be tough

goood course well designed qizes and aasignments time saving yet fruitful

Fantastic course that provides a great introduction into linear algebra.

The course content is good, but the programming assignment is too easy.

some topics are explained in a typical way and a bit problem was occur

The eigen value and eigen vector courses are a bit hard to understand

A good refresher with some really useful insights about eigenthings.

Its is the best course to know about matrices and their applications

It is so useful to me for getting the knowledge in machine learning

Exams were hard and most of the exams were source of the knowledge.