The linear algebra was taught in an easy to understand manor but the applications in machine learning were quite sparse

Should share additional videos (like links to khan academy if the student needs to learn more or wants to get deeper).

It is really intuitive and good for people who have little idea of Linear Algebra. The best part is the PageRank Algo.

Programming assignments failed to save and submit sometimes. But the course itself was well taught and at a good pace

The instructors are very good in delivering the course content..However, more reading resources should be provided.

Provides a good understanding of Linear Algebra for Machine Learning. However, it is a little lacking in exercises.

There were some problems with the notebooks used in the assignments but apart from that this course was brilliant.

Achei que haveria uma pequena introdução ou explicação de como seria usado esse conhecimento em Machine Learning.

Nice course! Hope to improve the programming function. It is really hard to find the errors in it for a greenhand

The two first courses are excellent, the final course is full of bugs and errors and a general pain in the butt.

Good course. It will be great if this can also include material if you want to go deeper after taking the class.

Went a bit too quickly for me towards the end of the course (coming into this as a layman), otherwise very good.

Fantastic course. My favourite delivery of Linear Algebra thus far. Both Sam and David were a joy to learn from.

The course is very comprehensive and yet is very focused towards actual application of LA in Data Science and ML

Very good course overall. I would have liked more explanation on the exercises and more time working on python.

A good quick introduction for people who already know the concepts but need refresher to get back on the feet.

Gives you an overview of how linear algebra can be applied to solve real world problems. I liked it very much.

This is one of the most important courses for someone who wants to build career in the machine learning field.

Good course but Instructor should provide some lectures on python programing which is related to assignments.

This course is short, you can conclude it in a month, but you will learn a lot with the assignments in Python

love it. However, it went a bit fast and I wish the parts of eigen stuffs had been slower and more detailed.

The course provided a good insight into some of the essential concepts with respect to vectors and matrices!

This course provides basic insights about vectors and matrices and their analysis in multidimensional space.

Mostly interesting although teacher tend to contradict himself or skip important partts of the explanation.

Course re-engineered my Lin Algebra skills. Rather challenging portions at times, But I learned patience.