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Back to Mathematics for Machine Learning: Linear Algebra

Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London

4.7
stars
12,533 ratings

About the Course

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning....

Top reviews

PL

Aug 25, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

DV

Jun 24, 2019

This was a terrific course; the instructors' are passionate and knowledgeable about the course material, the assignments are engaging and relevant, and the length of the videos feels "just right".

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1726 - 1750 of 2,477 Reviews for Mathematics for Machine Learning: Linear Algebra

By Pedro C

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Jan 4, 2026

VERY GOOD

By Shreejeet P T

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Oct 1, 2024

nice info

By Neolanis I S H

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Jan 2, 2024

Very good

By Naime A

•

Oct 1, 2023

thank you

By Rahmat

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Mar 24, 2023

Very good

By Arpit T

•

Jul 28, 2022

loved it!

By Hoang L

•

Jun 8, 2022

Very good

By Jack S

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Mar 8, 2022

great！！！！

By Mranmay S

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Aug 22, 2021

excellent

By Charles T

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Mar 2, 2021

Loved it!

By Sabrina M U

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Feb 25, 2021

good job!

By Sai N

•

Sep 27, 2020

very nice

By Rahul D

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Sep 22, 2020

Excellent

By miguel s

•

Sep 20, 2020

very well

By dnyani02@gmail.com

•

Aug 16, 2020

THANK YOU

By Arjunsiva S

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Jul 25, 2020

Thank you

By Arka G

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Jul 12, 2020

Excellent

By Deleted A

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Jul 8, 2020

Very Good

By Ms. M S

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Jun 29, 2020

Very good

By SARAN S V

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May 15, 2020

Thank You

By Ishwaragouda P

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May 12, 2020

Very nice

By B L P

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May 2, 2020

very nice

By M H S S G B

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Apr 28, 2020

Excellent

By JENNY J M

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Apr 14, 2020

Very good

By Quynh A T

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Mar 16, 2020

very well