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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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476 - 500 of 1,001 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Prut S

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Jul 28, 2020

Amazing progression of content. Enthusiastic lecturers.

By Rok Z

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Jan 19, 2020

Great course with a lot of math and practical examples

By Sujeeth S

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Jan 12, 2019

very good introductory course to Multivariate Calculus

By ABHILASH N

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Jul 27, 2020

Good introductory course on calculus and optimisation

By deepak t

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Mar 20, 2020

Taylor Expansion, Gradient Descent and further more:)

By Ashutosh P

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Sep 15, 2018

Great comprehensive course for Mathematics behind ML.

By John C B

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Jul 19, 2021

well presented material with nice, clean assignments

By John V

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Apr 2, 2020

One of the best practical math courses I have taken

By Maria B

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Feb 11, 2020

Amazing course, everything is very well explained :)

By Steve G

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Feb 2, 2019

Great course learned a lot Teacher was very engaging

By DIAZ R G A

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Oct 1, 2020

excelente curso con todos los temas bien explicados

By ignacio r

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Jun 29, 2018

Excellent way of explaining such abstract concepts.

By Charchit S

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Dec 2, 2020

This course give's you a head start in ML journey.

By Adryan R A

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Oct 6, 2021

One of the best course for mathematic in coursera

By Anbu V

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Mar 4, 2019

Good revision for the calculus' application in ML

By anirbid g

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Oct 1, 2018

great course, wonderful instructors. thanks much.

By Raphael M

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Mar 26, 2022

excellent teachers , very well produced videos

By Matthew S

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Sep 20, 2020

A really enjoyable and well put together course!

By Nitish T

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Jul 12, 2019

Very relevant course. It was very helpful to me.

By Andreas Z

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Jul 11, 2018

Just as good as the first course of this series.

By Naol Z

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Mar 20, 2022

This is what i was looking for!! amazing course

By Osama K

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Dec 11, 2020

Thanks, it was a lot of fun taking this course.

By Felipe C

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Mar 24, 2020

Great course and the materials are very helpful

By Zhuofei D

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Feb 22, 2020

Great course for some general methods and math.

By Janine S

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May 24, 2024

Great lecturer and clear development of points