Learner Reviews & Feedback for Mathematics for Machine Learning: Multivariate Calculus by Imperial College London

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

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

Interestin to refresh notions you already learned. Probably a bit difficult if you're totally new to multivariate calculus

Sometimes I need more explanation, I needed to find another resources to clarify what I haven't understood at that time.

Feedback on assessment could be improved, and there could be more practice questions relevant to the final assessments

I think I've improve my understanding of mathematics for ML, mainly, I've understand much better the concepts involved

More focus on concrete data centric machine learning instead of abstract function definitions would have been helpful

Good course to understand the basic mathematics terms and a refresher for high school math with some technical terms.

It is a beautifully designed course to get knowledge of how to apply various types of calculus to machine learning.

Very nice and concise, definitely review normal calculus and look up materials to get the most out of this course.

good math course for learning derivatives, there could have been a better way to summarize and explain the course

An amazing course for beginners in Machine learning and brushing up your Mathematics skills at the same time.

more on optimization techniques like in-depth concepts of gradient descent would have helped, rest was great

It seems that the lecture is not quite closely connected with the quiz, which may bring great confusion.