Very informative refresher on the basics of differentiation, though some of the later topics could have been fleshed out more (i.e. Taylor Series, Lagrange Multipliers, etc). Overall very good.

This course is good in general. But some parts, like the Lagrange Multipliers, needed better explanation and more exercise before testing. I also missed more supplementary material.

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.

T​he 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.

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.

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.

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.

it is pretty good for week1 to week4, but week5 and week6 are too complicated, I think the course should explain more details.

course was great and interesting however some topics were need to explain more thoroughly little bit difficult to understand

Can be hard in some parts. But it's not instructors fault as they had to put a lot of material into relatively short course