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Learner reviews & feedback for Mathematics for Machine Learning: Multivariate Calculus

4.75,772 reviews

About this course

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future.

Featured reviews

5.0Reviewed Jul 20, 2021

Multivariate Calculus course has been by far one of the best moocs I have taken in relation to learn maths for ml, its foundations helped a lot to understand how everything relates from bottom up.

5.0Reviewed May 12, 2020

Great course. It is clear and accessible, giving a lot of the intuition of why things are done. Some important topics in calculus are missing, such as Integration, but overall very good course.

5.0Reviewed Jul 30, 2018

As good as the first class in the Math for ML series. Instruction was interesting. Questions were not too confusing. Clearly a lot of time was spent producing this class. Thank you.

4.0Reviewed Jul 27, 2019

Superb quality. The way instructors teach is really innovative. The course is good in terms of the area it covers but lacks depth, but is a good starting point if you want to dwell more in detail.

5.0Reviewed Aug 22, 2020

It was very challenging, but not to the point where I felt lost. And that to me means I pushed the limits of my knowledge and skills further than before, which is what I expected from the course.

4.0Reviewed Jul 23, 2020

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.

5.0Reviewed Nov 12, 2018

Excellent course. I completed this course with no prior knowledge of multivariate calculus and was successful nonetheless. It was challenging and extremely interesting, informative, and well designed.

5.0Reviewed Mar 25, 2022

This calculus course covering realy great topic. expecially with great example but also easy to understand this is the easely this is the best explanation calculus i've ever learn so far

5.0Reviewed Oct 22, 2019

Very clear and concise course material. The inputs given during the videos and the subsequent practice quiz almost force the student to carry out extra/research studies which is ideal when learning.

5.0Reviewed Apr 2, 2018

Just a great course for getting you ready to understand machine learning algorithms. The chapter on backpropagation is simply outstanding and the programming assignments are awesome!

5.0Reviewed Apr 27, 2020

I am happy see that how the simple concepts of calculus can be helpful in answering the machine learning problem. Instructors are very professionals and did full justification with the course.

5.0Reviewed May 10, 2020

Excellent contain and I enjoyed a lot during this course. Assignment part was very crucial because there was chance to improve our understanding by giving correct or wrong answer.