Chevron Left
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
5,755 ratings

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

AF

May 13, 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.

MC

Jul 31, 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.

Filter by:

751 - 775 of 1,018 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Mars F

•

Jun 21, 2019

Great!

By Shuvo D N

•

May 26, 2019

Great!

By Nitish K S

•

Jul 19, 2018

nice !

By Andy T

•

Apr 14, 2023

Nice.

By Felix G S S

•

Mar 27, 2021

Great

By Sinatrio B W M

•

Mar 2, 2021

great

By Md. R Q S

•

Aug 21, 2020

great

By Kailun C

•

Jan 26, 2020

niubi

By EMAN A A A E A A A

•

May 10, 2024

good

By Stephen

•

Sep 7, 2023

nice

By Muhammad J

•

Mar 28, 2023

Good

By Arnoldy C

•

Mar 28, 2023

good

By Fitrah S

•

Mar 17, 2023

cool

By Doni S

•

Mar 27, 2022

Good

By Burra s g

•

Jan 19, 2022

good

By 李由

•

Aug 23, 2021

good

By Dwi F D S

•

Mar 23, 2021

good

By Ahmad H N

•

Mar 16, 2021

Good

By Habib B K

•

Mar 13, 2021

Nice

By Indah D S

•

Feb 27, 2021

cool

By RAGHUVEER S D

•

Jul 25, 2020

good

By Nat

•

Mar 6, 2020

goot

By Zhao J

•

Sep 11, 2019

GOOD

By Harsh D

•

Jun 26, 2018

good

By Amini D P S

•

Mar 26, 2022

wow