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

11,477 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


Sep 9, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

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1901 - 1925 of 2,274 Reviews for Mathematics for Machine Learning: Linear Algebra

By James H

May 24, 2018

Programming assignments failed to save and submit sometimes. But the course itself was well taught and at a good pace

By Alex S

Aug 8, 2018

The instructors are very good in delivering the course content..However, more reading resources should be provided.

By Isaac N

Apr 18, 2018

Provides a good understanding of Linear Algebra for Machine Learning. However, it is a little lacking in exercises.

By Rishabh D

Mar 15, 2020

There were some problems with the notebooks used in the assignments but apart from that this course was brilliant.


May 9, 2020

Achei que haveria uma pequena introdução ou explicação de como seria usado esse conhecimento em Machine Learning.

By 刘静怡

Jan 12, 2019

Nice course! Hope to improve the programming function. It is really hard to find the errors in it for a greenhand

By Douglas C

Jul 2, 2020

Good course. It will be great if this can also include material if you want to go deeper after taking the class.

By Alex G

Jun 14, 2020

Went a bit too quickly for me towards the end of the course (coming into this as a layman), otherwise very good.

By Jordin W

Jan 14, 2020

Fantastic course. My favourite delivery of Linear Algebra thus far. Both Sam and David were a joy to learn from.

By Unfunny C

Dec 21, 2019

The course is very comprehensive and yet is very focused towards actual application of LA in Data Science and ML

By Walter S

Feb 9, 2021

Very good course overall. I would have liked more explanation on the exercises and more time working on python.

By Varun T

Nov 6, 2022

A good quick introduction for people who already know the concepts but need refresher to get back on the feet.

By Ahmad H Z

May 21, 2022

Gives you an overview of how linear algebra can be applied to solve real world problems. I liked it very much.

By Saurabh G

Nov 7, 2019

This is one of the most important courses for someone who wants to build career in the machine learning field.

By Shriniwas S U

May 10, 2020

Good course but Instructor should provide some lectures on python programing which is related to assignments.

By Rodney N d S

Aug 31, 2018

This course is short, you can conclude it in a month, but you will learn a lot with the assignments in Python

By tao t

Mar 23, 2022

love it. However, it went a bit fast and I wish the parts of eigen stuffs had been slower and more detailed.

By Chakola P J

Aug 23, 2020

The course provided a good insight into some of the essential concepts with respect to vectors and matrices!

By Ronast S

Jan 18, 2020

This course provides basic insights about vectors and matrices and their analysis in multidimensional space.


Jun 4, 2022

Mostly interesting although teacher tend to contradict himself or skip important partts of the explanation.

By Helena R

Feb 15, 2022

Course re-engineered my Lin Algebra skills. Rather challenging portions at times, But I learned patience.

By Patricio A R

Aug 3, 2020

Permite ver claramente lo que potencialmente se puede lograr con la aplicación de los conceptos aprendidos.

By Diego C

Jul 4, 2020

This course is a very good opportunity to introduce to the main concepts of linear algebra for data science

By Jorge L C T

Aug 21, 2021

I recommend it for whom to are beginners, nice course to start programming in python using numpy library

By Meixin Z

Dec 10, 2018

the content of this course is really clear, but the assignment system about program needs to be improved.