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

10,870 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


Aug 8, 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering


Dec 22, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

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1526 - 1550 of 2,180 Reviews for Mathematics for Machine Learning: Linear Algebra

By Mashima T

Mar 24, 2018


By Arpit T

Jul 28, 2022

loved it!

By Hoang L

Jun 8, 2022

Very good

By Jack S

Mar 8, 2022


By Mranmay S

Aug 22, 2021


By Charles T

Mar 2, 2021

Loved it!

By Sabrina M U

Feb 26, 2021

good job!

By Sai N

Sep 27, 2020

very nice

By Rahul D

Sep 22, 2020


By miguel s

Sep 20, 2020

very well


Aug 17, 2020


By Arjunsiva S

Jul 25, 2020

Thank you

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Jul 12, 2020


By Deleted A

Jul 8, 2020

Very Good

By Ms. M S

Jun 29, 2020

Very good


May 15, 2020

Thank You

By Ishwaragouda P

May 12, 2020

Very nice

By B L P

May 2, 2020

very nice

By M H S S G B

Apr 29, 2020



Apr 14, 2020

Very good

By Quanh Q

Mar 16, 2020

very well

By Sreeprakash N

Nov 10, 2019

Very good

By Prabal G

Oct 10, 2019

very good

By Jorge H L B

Oct 7, 2019


By Greg H

Jun 18, 2019

Very Good