Chevron Left
Back to Mathematics for Machine Learning: Linear Algebra

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

10,947 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.

Filter by:

1026 - 1050 of 2,201 Reviews for Mathematics for Machine Learning: Linear Algebra

By John K B

Jun 27, 2020

By Ankit M

Jun 13, 2020

By 徐佑臻

Apr 11, 2020

By vipintiwari

Sep 9, 2019

By Akash G

Mar 19, 2019

By Badie T

Jul 31, 2022

By Jose G G M

Feb 16, 2021

By Haoyan L

Dec 26, 2020

By Sanjana T

Dec 12, 2019

By Sanele M

Sep 7, 2020

By greg m

Feb 15, 2020

By In W C

Oct 8, 2019

By Davide F

Sep 12, 2019

By YSQ是我的

Jul 8, 2019


Feb 10, 2019

By Tanuj J

Jan 18, 2019

By Dong T

Dec 15, 2018

By Febrian F A

Mar 4, 2021

By Anivilla S

Jan 4, 2021

By Yonathan C

Dec 4, 2020

By Manoj K

Oct 7, 2020

By John B

Jun 28, 2020

By Nikhil S

Jun 17, 2020

By Nicolas D

Nov 28, 2019

By Michael W

Jun 24, 2019