An amazing refresher for those who have already done. It took me less than a day to go through it and finish the assignments.

Really great course, well-organized, great instructors, challenging. Only issue is that the pace of the course is super fast.

The course was excellent. I only wish the final few lessons covered Matrix equations for linear and non-linear least squares.

Very good course on basic mathematics for machine learning. Good examples, some homework and very enthusiastic professors :)

Very well put together, a bit difficult in certain sections but all mysteries can be unraveled by a quick google. Thank you!

I "must-have" course if you want to get (or refresh) concepts on Calculus that are fundamental to understand how ML works.

Very interesting and even though there are some difficult theories to understand, the instructors made things really easy.

I think this course is really aiming at algorithm that can be applied in machine learning, which is to me very practical.

I think a very good course to review multi-variate calculus. Lectures are based on high-level concepts, which are great.

Very enthusiastic professors and a beautiful approach to learn some of the applications of Calculus in Machine Learning.

Efficient tutors who were able to inculcate interest in me towards finding out the roots of machine learning algorithms.

Amazing course. Simply amazing. The way the topics are explained makes fall in love with math (if you haven't already).

Really Challenging courses. The Last three weeks were really difficult to complete but it really gave some detail idea.

I think neural networks was unnecessary. It was very concise to understood by anybody without prior knowledge about it,

Totally like it!!!! Really fundamental and both of the two lecturers have made every important key points quite clear.

Concise overview of key aspects of multi-variate calculus. A useful intro to applying calculus to machine learning.

Very clear videos, awesome exercises, great instructors. A must have for anyone interested in Ml and math in general.

Really liked the course. If there are more of neural network course that Imperial College can come up would be best.

A good introduction about gradient descent, theoretical and programming in python in a basic but interesting level.

Very nice course!! Multivariate calculus application towards machine learning is

amazingly tailored !!! Good one!!!

This course helped me in learning key concepts of calculus like gradient, gradient descent, jacobian, hessaine etc.

It us good course and gave me basic understanding of multivariate calculus. It provide insight of gradient descent.

Well explained and I would say also https://www.mathsisfun.com/algebra/taylor-series.html to get some more details.

Nice course, but you should check the english subtitles, they are wrong 5% of the time and also have grammar typos

Excelente curso, su fortaleza radica en la claridad de las explicaciones y en la forma en que aplica los conceptos