I wish, Linear Regression was taught with a little more clarity. Seemed like too many things were happening. Otherwise, a very good course. Really enjoyed the back-propagation week.

the basic concepts are explained clearly, but the step of the lecture became more fast than the course of linear algebra. More detail proof and application of theory is expected.

The course starts off somewhat too basic for my taste but still gives a great intuition for some off the fundamental concepts underlying gradient descent and machine learning.

The course is still a bit young, some errors appear here and there sometimes, and some parts of it are a bit steep.

Otherwise, this is a good course, focused on derivatives.

They should explain concepts in detail. They just explained really tough concepts in 5 min and gave much much harder assignments which was really frustrating at many times.

The assignments are too cumbersome for just testing concepts. This course is definitely for experienced students. i found myself being confused by concepts i already know

This course opened my mind to a whole new view of calculus in general, thanks guys for that incredible work. with that said, the course needs some tweaks here and there!

Practice makes about 65% of this course, 3Blue!Brown and Khan Academy are indispensable in this course too. The course is more like an overview than an in-depth study.

Definitely not for beginner, but for someone who already had knowledge about multivariate calculus, it is a succint course for you to review and gain some intuition.

I don't know if it's because less important or something. But the explanation of Professor David in this course is confusing especially in Lagrange Multipliers.

1.Week 5 should be taken in separate module dedicated to statistics.

2.The duration of course can be increased.

3. Week 3 and week 4 can be made more detailed

Very good course but especially while approaching the end of the course some steps are being skipped or not explained entirely which can be a bit confusing

This course is a good refresher, bringing all the important aspects and how it can be applied for machine learning also combining with linear algebra

This was a great course for learning multivariate calculus required for Machine Learning. I am thankful to the creators of this awesome course.

Nice refresher! Excellent instructors! Not recommended as a first Multivariate Calculus course though. I would go for MIT OpenCourseware first.

Good course, but some things seem to be not well discussed and explained, I had to refer to another resources to understand what's going on.

Really good course, would recommend! 4 Stars, because there is no written transcript with the Formula and examples in the videos available.

A very nice course that builds your intuition in Multivariate Calculus and also introduces you to some basic consepts in machine learning.

This was a very succinct and comprehensive course and at times I felt a bit fast paced and consequently the assignments harder to solve

Good course. Clarity of content in the last two weeks (i.e. weeks 5 and 6) can be improved. Overall a fantastic learning experience.

Excellent course overall. I really enjoyed the sessions taught by Sam Cooper. He explains concepts very clearly...great teacher.

Nice content, very clearly explained. Occasional jarring between the lectures and the quizzes, but overall highly recommended.

Good course. The lecturer uses a number of illustrations and has a nice easy style to explain the key ideas. Overall enjoyable

Great overall, but some of the teaching falls short of clarity, too much hand waving, and programming exercises can be obtuse.

This is a nice course for beginners, as it relies on intuition for the explanation. Also, this has very interesting exercises.