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
12,393 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

PL

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.

GB

Aug 16, 2020

The instruction was good throughout, but I would urge fellow students to take the time to work through the problems as suggested. Also, the eigen- stuff is quite tricky and can fool you. Be careful.

Filter by:

1426 - 1450 of 2,449 Reviews for Mathematics for Machine Learning: Linear Algebra

By Sedka I

•

May 30, 2021

It is the best course I gut it

By Stevani D U

•

Mar 7, 2021

this course really challenging

By Christopher W

•

Aug 9, 2020

It was a stone groove, my man.

By Mrs. C G J J

•

May 16, 2020

different learning experience.

By Cesar C

•

Mar 31, 2020

Very professional and complete

By Styven G A

•

Sep 9, 2019

Muy bueno, se aprende mucho...

By Liam F

•

Mar 9, 2019

Very useful, thanks very much!

By Devbrat S

•

Aug 6, 2018

just one word " Knowledgesome"

By Sumit T

•

Nov 28, 2024

Engaging, fun and insightful.

By 郭意菲

•

Dec 2, 2021

Enjoyed this course very much

By Sharath C

•

Nov 11, 2021

Its really good for begginers

By Jie C

•

Apr 8, 2021

It was an amazing experience!

By Manjie S

•

Mar 9, 2021

very interesting math course!

By QUYEN H N M

•

Feb 16, 2021

nice course for learning math

By Rahaman M S

•

Nov 29, 2020

Thank you so much professor's

By Aarafat G

•

Nov 15, 2020

its so helpful for learning .

By Rajkumar C

•

Jun 5, 2020

Great course and instructers.

By Mukesh M

•

Sep 29, 2019

Awesome Course, learned a ton

By Conan J

•

Jul 16, 2019

Very good video explanations.

By Chenyu W

•

Sep 23, 2018

Very Good and Useful Course!

By Shan X

•

Jul 20, 2018

It's a great course made easy

By Raihan A

•

Mar 23, 2023

very useful for data analyst

By Mu E

•

Dec 30, 2022

Very helpful and challenging

By Lu Y

•

Jan 24, 2021

detailed explanation. Thanks

By Steven P M

•

Apr 5, 2019

Great Linear Algebra course!