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

4.7
stars
5,609 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

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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.

RM

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It was very challenging, but not to the point where I felt lost. And that to me means I pushed the limits of my knowledge and skills further than before, which is what I expected from the course.

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By sudipta p

Aug 15, 2019

Excellent.

By Allie A M

Feb 20, 2019

Thank you!

By Perumal R S

Oct 2, 2023

Excellent

By CARLOS A S O

Nov 18, 2021

Very Nice

By ibrahim s s

Jun 22, 2021

excellent

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Dec 1, 2020

excellent

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Sep 20, 2020

very well

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Aug 29, 2020

very good

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Aug 9, 2020

excellent

By Rafael M

Sep 16, 2019

Excelent.

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Aug 5, 2019

Fantastic

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Apr 2, 2019

very good

By Yash V P

Mar 25, 2019

very cool

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Nov 11, 2018

very good

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Sep 3, 2018

very nice

By Bielushkin M

Jun 8, 2018

retretret

By 海鹿

Mar 15, 2018

excellent

By Harsh

Jan 23, 2023

Awesome!

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Oct 8, 2022

Amazing

By Deleted A

Nov 29, 2021

excelent

By Carlos J B A

Feb 2, 2021

Amazing!

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Sep 17, 2019

Amazing!

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May 31, 2019

Awesome!

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Jan 14, 2019

Amazing!

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Jul 27, 2018

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