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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
12,386 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 not...
...

Top reviews

PL

Aug 26, 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.

CS

Apr 1, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

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2126 - 2150 of 2,447 Reviews for Mathematics for Machine Learning: Linear Algebra

By Deleted A

Jul 19, 2019

Really intuitive course on matrix algebra with very clear geometric explanations.

By Ahmed M

Aug 23, 2024

Good course but programming assignments are very challenging with weak guidance.

By Ли

Dec 17, 2023

The last topic is still unclear to me. I would like to have more exercises on it

By Nicholas J F

Sep 27, 2021

Good overview. I definitely had to go to outside material for the Row Reduction.

By Hari

Feb 12, 2019

A good introduction, would recommend referring a textbook along with the course.

By Zhuocheng Y

Dec 2, 2018

The programming grading system doesn't work well, but the course is great anyway

By Xinsong D

Jun 15, 2018

Excellent, but for the pagerank part, the instructor teaches a little bit fast.

By Rocber

Sep 30, 2018

it is really useful to help me build geometric meaning with vector and matrix.

By phanidhar s

Jun 1, 2020

The course will help us to apply the matrices for machine learning algorithm.

By Benjamin W

Jul 16, 2021

Some of the autograding wasn't great but the discussion forums helped a lot

By Tarun A

May 21, 2020

after learn from this course, i know very well about machine learning

thanks.

By Aviral A

Dec 10, 2018

A good course for gaining knowledge for Linear Algebra for machine learning.

By 胡与诚

Apr 2, 2018

Good course, But I think it should explain more about the underlying things.

By Rishi R D

Feb 1, 2024

Great course. Final week was quite challenging compared to the other weeks.

By Alfian A H

Mar 3, 2021

Overall is good. But somehow, there are parts that I don't understand well.

By Bruna R

Feb 6, 2021

the course is excellent. I have learned a lot and it was very interactive.

By Gundepudi V

Jul 13, 2020

Was a but fast. For non engineering or people who are new it will be tough

By Abhirup B

Jul 29, 2020

goood course well designed qizes and aasignments time saving yet fruitful

By Julian A

Jun 12, 2020

Fantastic course that provides a great introduction into linear algebra.

By Ivan N

Jun 4, 2018

The course content is good, but the programming assignment is too easy.

By RITIK J K S (

Jun 1, 2020

some topics are explained in a typical way and a bit problem was occur

By Nugy

Feb 24, 2021

The eigen value and eigen vector courses are a bit hard to understand

By Kevin O

Feb 26, 2021

A good refresher with some really useful insights about eigenthings.

By KIRANKUMAR M

Jul 21, 2020

Its is the best course to know about matrices and their applications

By KURRA S S 2

Dec 27, 2022

It is so useful to me for getting the knowledge in machine learning