great class, only focused on the core concepts of linear algebra, and try to build a intuition of how these concepts fit in later on machine learning applications

One of the best I've seen on linear algebra. I would recommend it for people who need a refresh on the subject.

Good course for refreshing your knowledge in Linear Algebra. Easy to understand material and instructor is great.

One of the best Linear Algebra [LA] courses for beginners/novices. It takes away the drudgery of algebra and formulae and tries to explain the "essence" of LA. This is by no means comprehensive LA course - but good enough for people who are fed up with "this is how to calculate the Eigen vector/determinant/<insert pet peeve>" mode of teaching LA.

Clearly presented and engaging through the course's focus on Data Science problems.

I took Linear Algebra in undergrad nearly 20 years ago. The instructors for this course developed the inuition behind core concepts in such a way that it made the material very accessible and provided a great basis for further study using supplementary material. I am pleased with the overall presentation.

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Very well put together, well presented and easy to understand. One of the best MOOC's I've ever taken.

Amazing course! Thank you so much

Great teacher and teaching style!

Simply excellent and highly recommended !

Great introductory course. Linear Algebra is quite often the most poorly taught/understood subject in college mathematics.This course has a done a great job in stressing on the core concepts without focusing on the computational details which happens in typical linear algebra courses

Excellent course. I have never taken a linear algebra course before, so it took me longer to complete this as I had to learn the basics to follow the material in this course. The course is designed as a review of linear algebra, but if you are motivated and have time, it's possible to complete without having had linear algebra.

Great intro into vector algebra - helps build better intuition even if you know all the formulas already.

best math course for ML

Great Teacher!

This is a very good introduction and review of Linear Algebra. The particular highlights are the use of geometric perspectives to give intuition rather than just labouring through the mathematics. I also learned where I need to learn more in order. Overall will recommend either as a review or a stepping stone to learning more about Linear Algebra.

Excellent course -- very good lectures and a useful introduction to the topic

If you are a bottom-up person who has to understand nuts and bolts before going up the software stack, this is the course to start your machine learning study. - From a ML newbie

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I'm impressed how good this course is. It provides lots of intuition, many examples and exercises about the topics and Prof. Dye is a incredibly talented instructor. Thanks a lot!

excellent

I have taken a course on linear algebra during my graduate program and must admit that it was not one of my more comfortable ones! Coming back to this course online, it really did help me get a much better understanding of concepts like dimensionality, basis, eigen values and eigen vectors. I intend to go over the lectures at least a few more times to be sure I have understood it well.

Great course, well presented videos and challenging but engaging content. Great high level view of linear algebra to give you a starting point for other courses. May be useful to have some machine learning knowledge before taking - Andrew Ng's course would serve as a good counterpoint.

Fantastic course that develops the intuition behind Linear Algebra. I'm glad I did it.

I would couple this course with MIT prof Gilbert Strang's lectures on linear algebra on MIT OCW.