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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
5,746 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

TK

Apr 2, 2018

Just a great course for getting you ready to understand machine learning algorithms. The chapter on backpropagation is simply outstanding and the programming assignments are awesome!

DS

Apr 27, 2020

I am happy see that how the simple concepts of calculus can be helpful in answering the machine learning problem. Instructors are very professionals and did full justification with the course.

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501 - 525 of 1,017 Reviews for Mathematics for Machine Learning: Multivariate Calculus

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

By Apoorv M

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Apr 10, 2021

awesome instructors with well explained course

By Hyun H M

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Oct 17, 2020

Great course to understand vector and calculus

By Neelam U

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Sep 1, 2020

I loved the application aspect of this course!

By Archana D

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Mar 6, 2020

it was great to have the formulas as reference

By Mohammad M

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Jul 24, 2018

Perfect start point to learn machine learning.

By Tianlu W

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Jul 26, 2022

Excellent course that combines MVC and Python

By Bruno F

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Oct 14, 2018

Nice course. Very useful for machine learning

By Deleted A

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Sep 15, 2018

Fantastic course with a very nice accent! :-)

By Marco C

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Apr 30, 2018

Another fantastic course by Imperial College.

By wang x

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Aug 31, 2019

Very friendly for some one new to the topic.

By Teiichi A

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Aug 5, 2021

Enjoyed leaning a lot with the instructors

By Pranav N

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Aug 25, 2020

Great continuation from the previous course

By Manmohan K

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Aug 15, 2020

Such good visualizations! Must have course.

By JARMOUNI A

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Apr 15, 2020

Excellent course, I have really enjoyed it.

By UMAR T

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Mar 10, 2020

excellent course taught by the instructors.

By Claudio P

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Dec 30, 2019

Excellent material and awesome instructors!