Excellent course a little challenging but just the right pace and depth to get one back up to speed with linear algebra, looking to build from this foundation

The last assignment (Page ranker) was really complicated. The jyupter platform also showed some issues. But the classes were really really good. I enjoyed it

This course gives you a solid base on linear algebra. The instructors are very good and the technique that is applied here to teach is unique and attractive.

Great intuition building. Absolutely enjoyed the course. I'm still a little bit behind getting the entire intuition, will come back and get it done. Love it!

Great Course to provide a better perspective to mathematics needed for machine learning. Really enjoyed the course and looking forward for more such courses.

Excellent course. It's very practical - focuses on building your intuition of core concepts and applying those concepts through simple programming exercises.

Amazing course for building intuition for Linear Algebra. I also liked the fact that only included the parts of Linear Algebra relevant to Machine Learning

Good course. Clears a lot of basics. It gave a different perspective of Matrices and transformations which I did not have earlier. Overall very good course.

Great course to get introductory knowledge and good foundation on linear algebra, especially Eigenvalues and Eigenvectors and some basic python programming.

This course is amazing. Week 5 quiz is tricky but all the others are fine. The course might take longer than expected to complete but it's totally worth it.

An excellent introduction to Linear Algebra. Clear, concise videos; the assignments are well designed; the quizzes help re-enforce the material. Well done.

Very good; contents covered gives an intuition of what's happening beneath the Mathematics. The lectures are interactive (which keeps your brain working).

A very informative course that is focused on understanding the concepts of linear algebra and its applications rather than on solving numerical problems.

The way this course is structured gives me confidence in myself and allows me to have a better exposure time towards the content. Fantastic way to learn!

The programming assignments are very well-designed. They are easily to follow and give me confidence to use Python deal with complex mathematic problems.

I love the stuff that I learned: the usefulness of eigenvalues and eigenvectors, coding pagerank algorithm, gram Schmidt to create orthonormal basis, ...

Enjoyed the course a lot! It stretched me at times, and I definitely got what I needed and know where to go to fill in any knowledge gaps in the future.

The introduction in week 1 about what the vector is and the purpose of machine learning using a contour map is very impressive and simple to understand!

If you are new to Machine Learning and mediocre in Mathematics (even though you studied this topic before), then this course is the right place for you!

Over the years, I have learned linear algebra from several sources but this by far enagaged me the most and taught me the intuition more than any other.

Wonderful course, highly recommended for everyone who is trying to learn AI/ML/Data Science. Specially for someone who want to brush up their knowledge.

The course was really good! If programming is better learned through books, math is better learned from courses where you can visually see all concepts.

A new way of looking at eigen values and vectors, every engineer should do this course.

It will help developing strong fundamentals for machine learning.

It was a "neat" lecture for understanding the basic of linear algebra. Programming assignments and test were well designed. Thank you for the lecturers.

Really liked this course! The concepts of LA are described in a simple and intuitive way. Big thanks to the professors and the course's creation team!