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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
5,658 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.

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.

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501 - 525 of 1,008 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Zhuofei D

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Feb 22, 2020

Great course for some general methods and math.

By Harith Y

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Dec 31, 2024

Very nice explanation by using Visual methods.

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!

By Moez B

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Sep 10, 2019

Excellent course with engaging instructors.

By Greg B

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Oct 30, 2018

Great course with highly relevant material.

By NIYIGENGA A G

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Feb 3, 2024

Thanks to Imperial College for this course

By Kevin C

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Aug 5, 2021

well structured course. Thank you for this

By Krishna E G

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Sep 14, 2020

Very informative, thanks to team coursera.

By BHARAT K

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Jul 13, 2020

think you for imperial college of london