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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

10,863 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


Mar 31, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.


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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1501 - 1525 of 2,180 Reviews for Mathematics for Machine Learning: Linear Algebra

By Kartik S S

Sep 4, 2020

Best Course


May 26, 2020


By tan c

May 7, 2020

Very useful

By ‍정희석[ 대 / 컴 ]

Jan 8, 2020

Nice Course

By Muhammad B

Nov 30, 2019

Very useful

By Muhammad Z H

Sep 7, 2019

learnt alot

By Lintao D

Aug 26, 2019

Good course

By Rodrigo F

Jun 23, 2019


By Parag B

Oct 8, 2018


By Mrinal G

Oct 1, 2018

nice course

By Le N P

Jul 11, 2018

many thanks

By Christopher H

Mar 31, 2018

Great intro

By Joao G M

Dec 9, 2021


By 현찬수

May 16, 2021

Thank you.

By Cassey K N P

Mar 12, 2021

Huhu manta

By Siti S

Feb 28, 2021

Amazing :)

By Qiming L

Nov 4, 2020

Very good!

By Nguyễn T Đ

Oct 28, 2020


By Qinqin X

Jul 11, 2020

It is hard

By Daniel T d L F

Mar 16, 2020

Very good!

By Dunwei P

Mar 9, 2020


By Juan N C U

Nov 23, 2019

Muy aspero

By ayuthiyea

Aug 13, 2019

Thank you.

By Nedim M

Aug 6, 2019

Thank You!

By denise d

May 5, 2018