Chevron Left
Back to Mathematics for Machine Learning: Linear Algebra

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

4.7
stars
12,466 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

DV

Jun 24, 2019

This was a terrific course; the instructors' are passionate and knowledgeable about the course material, the assignments are engaging and relevant, and the length of the videos feels "just right".

AS

Jul 11, 2019

It's a nice course but instructors should go in more details. It's mostly high school mathematics. I was expecting undergraduate level Linear Algebra. Otherwise it was a good learning experience.

Filter by:

2451 - 2463 of 2,463 Reviews for Mathematics for Machine Learning: Linear Algebra

By Rohan D

•

Jan 2, 2025

The details of how things are derived are not particularly clear.

By Jesse L

•

Apr 22, 2024

Zero stars. Cannot understand the speaker's heavy accent!

By ankit p

•

Aug 24, 2020

Not for someone with less knowledge about terminologies.

By Jules A d C

•

May 6, 2020

Doesn't explain how it is related to Machine Learning.

By Karthikeyan R

•

Jan 12, 2025

Not clear on the concept, too many gaps to understand

By Ephraim K N

•

Oct 5, 2020

Please I am not interested in taking the course again

By Himanish C

•

May 4, 2021

Terrible course, skips through a lot of concepts

By Deleted A

•

May 29, 2020

Don’t waste your money with Coursera it’s a con.

By Andrew E

•

Jun 17, 2019

First quiz doesn’t work properly. Can’t submit.

By cyara g

•

Mar 20, 2025

i need my lab reset, and no one is helping me.

By Chris Y

•

Aug 30, 2019

very bad, everything is not clear

By Enyang W

•

Aug 23, 2019

worst course ever

By Vaibhav J

•

Aug 10, 2020

Bad