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Back to Mathematics for Machine Learning: Multivariate Calculus

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

4.7
stars
4,842 ratings
863 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

SS
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.

JT
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.

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776 - 800 of 866 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Rakesh V S

Jan 4, 2020

Last week was very rushed. Should be more patient in teaching.

By Paulo G

Nov 29, 2018

great content, but the grader software needs some improvement

By Prabhjot S A

May 2, 2020

First 4 weeks were awesome but last 2 weeks were mediocre.

By Harsh D

Jun 2, 2019

Awesome course, just wish it had more info on hessian.

By Mark R

Jan 3, 2019

Good grounding in fundermental material needed for ML

By William S

Jan 11, 2020

Weeks 1-4 were great, 5-6 felt rushed and confusing

By Shariq A

Dec 24, 2019

Good course ..but need to elaborate a little more

By Tess P

Apr 14, 2020

I would love to have more practice exercises

By SHIVANG S

Apr 25, 2020

Programming assignments were not so useful

By mnavidad

Nov 24, 2018

This course was super hard but worth it...

By Salah E

Jul 23, 2020

again it is too hard and pushed my limits

By Kleider S V G

Aug 23, 2021

A very orderly course, in my opinion.

By Kevin k

Aug 20, 2021

P​rof Cooper is a master at his craft

By Eric G

Jul 16, 2019

A brief but also very in-depth course

By sreekar

Oct 23, 2018

Great instruction and good materials.

By Gurbaaz S G

May 14, 2021

it was good and interesting course

By Julia K

Oct 6, 2019

A challenging but exciting course!

By Shivang G

Sep 1, 2021

To the point and decent depth

By Mr. S G

Apr 17, 2020

The course was well taught.

By Armen M

Apr 22, 2020

It was a very hard course

By Elnur M

Mar 24, 2020

Didn't like last two week

By Manuj M

Jun 10, 2020

Professors were awesome

By danthedoubleD

Mar 14, 2019

hopefully it is useful

By Philip A

May 16, 2019

Excellent Instruction

By Kamlesh K

Jun 19, 2020

It's just amazing.