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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
12,262 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

CS

Mar 31, 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.

MG

May 30, 2020

A great course covering key aspects of Linear Algebra with the lecturers giving a good intuition about what's going on with the subjects.(PS. I loved the sense of humor of Prof.Dye it was really fun!)

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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