Chevron Left
Back to Mathematics for Machine Learning: Linear Algebra

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

11,196 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 25, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.


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.

Filter by:

1051 - 1075 of 2,222 Reviews for Mathematics for Machine Learning: Linear Algebra

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

By Andrey T

Mar 12, 2019

By arif h

Jan 6, 2019

By Naveen R

Dec 25, 2018

By Geoffrey K

Oct 19, 2018

By Won-Yung L

Aug 5, 2018

By Vassiliy T

May 17, 2018

By Guillermo S A L

Jun 20, 2021

By Tobias H

Mar 28, 2021

By Mart A M

Dec 1, 2020

By Juan C R

Sep 13, 2020


Jul 31, 2020

By Sagnik M

Jul 25, 2020

By yogesh g

Oct 30, 2019

By Andrew

Mar 12, 2019

By Rodrigo S Z

Aug 24, 2018

By Evgeny ( C

Jul 25, 2018

By Ayush B

Jul 24, 2018

By Ni P E J

Mar 19, 2022

By Suci A S

Mar 8, 2021