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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
5,737 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

KB

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.

AF

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.

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926 - 950 of 1,017 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Kleider S V G

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Aug 23, 2021

A very orderly course, in my opinion.

By Kevin k

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Aug 20, 2021

Prof Cooper is a master at his craft

By Eric G

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Jul 16, 2019

A brief but also very in-depth course

By Sreekar P

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Oct 23, 2018

Great instruction and good materials.

By Muhammad R A

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Mar 27, 2023

it seems too complex to understand

By Gurbaaz S G

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May 14, 2021

it was good and interesting course

By Julia K

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Oct 6, 2019

A challenging but exciting course!

By Hizkia F C E

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Mar 24, 2022

it's better to add more examples

By Shivang G

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Sep 1, 2021

To the point and decent depth

By Mr. S G

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Apr 17, 2020

The course was well taught.

By Armen M

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Apr 22, 2020

It was a very hard course

By Elnur M

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Mar 24, 2020

Didn't like last two week

By Manuj M

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Jun 10, 2020

Professors were awesome

By danthedoubleD

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Mar 14, 2019

hopefully it is useful

By Philip A

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May 16, 2019

Excellent Instruction

By Kamlesh K

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Jun 19, 2020

It's just amazing.

By Dr. T C

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Jun 19, 2020

Very Good Course

By Jannatul F A

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Apr 28, 2020

Its very helpful

By raghu c

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Apr 2, 2020

Less detailing

By Stathis

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Oct 19, 2019

Good refresher

By Suyoun K

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Sep 15, 2021

Good Course.

By Alfian A H

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Mar 22, 2021

Very good

By hemant k

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Dec 17, 2018

Its good.

By henry c

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Jan 19, 2020

It is ok

By R. D B D

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Mar 7, 2021

so hard