Chevron Left
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
4,957 ratings
887 reviews

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

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.

SS
Aug 3, 2019

Very Well Explained. Good content and great explanation of content. Complex topics are also covered in very easy way. Very Helpful for learning much more complex topics for Machine Learning in future.

Filter by:

401 - 425 of 892 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Andrés M

Jul 6, 2020

Coming from a BA in maths, I didn't expect it to be that good.

By Aayush S

May 29, 2020

Very good course for understanding basics of machine learning

By AVICHAL

Mar 31, 2020

Course outline is well defined and instructors are very good.

By Pavel S

Dec 12, 2019

The best course of the module (perfect for non-matematicians)

By Dominic D

Jan 8, 2019

Very practical introduction to the subject, very well paced!

By Matt T

Jan 31, 2021

Great overview of the calculus topic needed to start in ML!

By Morayo O

Mar 29, 2020

I learned so much, more so on how calculus factors into ML.

By Cheung Y H

Oct 8, 2019

Clear and easy to follow, with practical examples and tasks

By Shahriyar R

Sep 9, 2019

Amazing in-depth explanations and insights. Thanks for all.

By Kris S

May 28, 2019

Very well taught, great flow of lectures, awesome teachers!

By Raghunatha R t

Aug 19, 2020

Excellent course and interesting applications with python.

By XL T

Mar 20, 2020

totally mind blowing and refreshing way to learn calculus!

By Gyan D

Oct 8, 2019

This course gave a good intuition of the mentioned topics.

By Du L

Aug 5, 2018

Super Great!!!

Clear illustration on multivariate calculus.

By Evgeny ( C

Jul 25, 2018

Great balance between presentation and excellent exercises

By Amanda A

Jun 18, 2021

Another brilliant course in this series! On to the next!

By Sree H N

Jun 9, 2020

One of the best courses I've come across on the platform.

By Trevor A G

May 27, 2020

Great overview of multivariate calculus and nice intro to

By Praveen J

Apr 27, 2020

An awesome way to introduce towards multivariate calculus

By Sergio S R

Nov 11, 2018

Excellent course. Instructors are clear and to the point.

By Ahmed F

Jul 2, 2020

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

By David H

Jan 27, 2019

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

By Geoffrey K

Nov 14, 2018

A most intuitive way of learning calculus. Great course!

By Yuichi M

Oct 27, 2018

From basic concept to profound and practical calculation

By Ejulu W

Jul 6, 2021

lots of learning but less visialisation towards the end