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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

WW

Jan 12, 2021

Quality of instruction and the visual presentation was superb. Completing the second course in this specialisation in Machine Learning has improved my confidence to tackle more advanced topics

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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476 - 500 of 1,017 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Trevor A G

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May 27, 2020

Great overview of multivariate calculus and nice intro to

By Praveen J

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Apr 27, 2020

An awesome way to introduce towards multivariate calculus

By Sergio S R

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Nov 11, 2018

Excellent course. Instructors are clear and to the point.

By Ahmed F

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Jul 2, 2020

it's an awesome course and very important for ML carrier

By David H

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Jan 27, 2019

They know what students want to learn and teach it well.

By Geoffrey K

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Nov 14, 2018

A most intuitive way of learning calculus. Great course!

By Yuichi

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Oct 27, 2018

From basic concept to profound and practical calculation

By WILSON E

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Jul 6, 2021

lots of learning but less visialisation towards the end

By Nikhil S

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Nov 27, 2020

I have no words for this course Amazing, Awesome .....

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.