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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
12,267 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

HE

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

NS

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.

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2426 - 2432 of 2,432 Reviews for Mathematics for Machine Learning: Linear Algebra

By Ephraim 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 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