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

10,791 ratings
2,149 reviews

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


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.


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

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926 - 950 of 2,161 Reviews for Mathematics for Machine Learning: Linear Algebra

By Jessica S P

Apr 28, 2020

Very useful. Teaching was very clear for me. It was more than I expected.

By Katya G

Apr 12, 2020

Very nice course that helps to build intuition in linear algebra. Thanks!

By Bernardo M S

Aug 17, 2018

Greate explanation in general. Exercises were concise as well as lectures

By Jeong-min S

Sep 6, 2021

it was very helpful and good to understanding Linear Algebra. Thank you.


Apr 20, 2021

Worth taking course. It will give the required insights for a beginner.

By Syahril A G

May 16, 2020

Great course ! I've learn this topic more than everythin in just 3 days.

By Deleted A

Apr 7, 2020

Good explanation, earned new knowledge, definitely recommend this course

By Pranav P

Apr 4, 2020

I loved the way tutors explained the concept. It was an nice experience.


Aug 31, 2019

This is an intensive but very useful course of stepping stone to ML Math

By Tomáš R

Feb 10, 2019

perfect recap of necessary terminology and math algorithms, great course

By David H

Dec 17, 2018

Well designed for students who want to understand Linear Algebra for ML.

By Hu J

Jun 22, 2020

Clear explanations by the professors and good guided hand-on practices.

By Alaa M K A

May 15, 2020

جدا ممتاز ولكن احيانا الكويزات لاتتواافق مع حجم معرفة المهارات البرمجية

By Nelson H

Mar 29, 2020

Very good to learn the intuition behind so many matematical operations.

By Romesh M P

Nov 21, 2019

Gave a nice intuition to the subject and that was exactly what I needed

By Dawn D

Feb 6, 2019

Well presented, easy to follow and very good explanations and examples!

By Prithwijit G

Jun 6, 2022

One of the best course I have ever learnt from coursera......thank you

By Rusiru R

Dec 17, 2020

A really important course for a beginner in the machine learning area.

By Senthilvadivel S

Aug 30, 2020

Amazing course . I really know what is matrix only after this course .

By Jake L

Jun 6, 2020

Amazing course! The two tutors explanations of each topic are amazing!


May 19, 2020

This is an excellent course, I recommend this for every mathematician.

By Deleted A

Jan 19, 2020

Highly recommended for anyone who is starting out in Machine Learning.

By Vishesh K

Dec 9, 2019

I read the linear algebra in my first year but I understand it now....

By Pierre P

Jan 19, 2019

Great teacher, great course, easy to understand but still challenging.

By Sugir T

Mar 18, 2022

This course was very interesting and I really enjoyed it. Thank you.