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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
5,635 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

DP

Nov 25, 2018

Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.

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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901 - 925 of 1,001 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Paulo G

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Nov 29, 2018

great content, but the grader software needs some improvement

By Prabhjot S A

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May 2, 2020

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

By Harsh D

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Jun 2, 2019

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

By Deleted A

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Jan 3, 2019

Good grounding in fundermental material needed for ML

By William S

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Jan 11, 2020

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

By Shariq A

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Dec 24, 2019

Good course ..but need to elaborate a little more

By Naseem A

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Dec 20, 2021

get confused when going to last part this course

By Tess P

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Apr 14, 2020

I would love to have more practice exercises

By Shivang S

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Apr 25, 2020

Programming assignments were not so useful

By mnavidad

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Nov 24, 2018

This course was super hard but worth it...

By Salah E

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Jul 23, 2020

again it is too hard and pushed my limits

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