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

4,872 ratings
870 reviews

About the 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....

Top reviews

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.

Aug 3, 2019

Very Well Explained. Good content and great explanation of content. Complex topics are also covered in very easy way. Very Helpful for learning much more complex topics for Machine Learning in future.

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376 - 400 of 873 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Hritik K S

Feb 21, 2019

Mathematics is all about your understandings and feelings of logics.

By Rafi D

Feb 18, 2019

Great course! A bit more challenging than the Linear Algebra course.

By Yashwanth M

May 4, 2020

In love with this course from Coursera and Imperial College London

By Anas N B

Aug 4, 2018

It helped me to brush up my calculus knowledge.thanks to the team

By Enrique A

Oct 27, 2020

Mil Gracias maestros, Samuel, David, Fredi, Mil gracias Coursera.


Sep 6, 2020

Amazing course, very challenging and lots of learning. Thank you!

By Jesús E C G

Aug 8, 2020

Muchas gracias por el curso! Muy buen material, súper recomendado

By Pranit M

Jun 11, 2020

Amazing explanations by the instructors and,

greatly constructed!

By Snehal P

Sep 19, 2020

It was nice course. Little bit time consuming but we can manage.

By Benjamin C

Jan 21, 2020

This is a very good course both on theoritical an applied sides.

By Zecheng W

Sep 23, 2019

Great course! Great review for multivariable Calculus and coding

By taeha k

Jul 24, 2019

Recommend if you want to know the basic math of Machine Learning

By Navaneeth M

May 15, 2019

Excellent course. Must do course for Machine Learning Developer.

By Sergii T

Nov 25, 2018

Nice Course. It is well structured and is interesting to follow.

By George W

Oct 19, 2018

Nice course. Except the graph of the last assignment won't show.

By Md. A A M

Aug 20, 2020

Fantastic effort to teach such a great way. Highly Recommended.

By Thomas L

Nov 4, 2019

Brilliant course that covers so much in such a short time span.

By Jevon K M

Mar 9, 2019

My current (2019.03.09) employer hates it. Therefore I love it.

By Tich M

Jan 3, 2019

great course, great teachers. they break things down very well!

By Tao S

Feb 8, 2021

This course is excellent! I really enjoy Dr.Cooper's teaching.

By Andrés M

Jul 6, 2020

Coming from a BA in maths, I didn't expect it to be that good.

By Aayush S

May 29, 2020

Very good course for understanding basics of machine learning


Mar 31, 2020

Course outline is well defined and instructors are very good.

By Pavel S

Dec 12, 2019

The best course of the module (perfect for non-matematicians)

By Dominic D

Jan 8, 2019

Very practical introduction to the subject, very well paced!