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
12,447 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

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.

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

Filter by:

1626 - 1650 of 2,457 Reviews for Mathematics for Machine Learning: Linear Algebra

By Utkarsh G

•

May 30, 2020

Amazing Course

By ZUQIAN S

•

Mar 11, 2020

Amazing class!

By Chuhan O

•

Dec 14, 2019

Awesome class!

By Pablo M P

•

Jul 15, 2019

Very didactic!

By Lia L

•

Feb 21, 2019

Great teacher!

By Alexander Y

•

Jun 28, 2018

amazing course

By Felipe M

•

May 2, 2018

Great Teacher!

By Deepu R

•

Jul 21, 2024

Great Lecture

By Sabeur M

•

Dec 22, 2023

great courses

By Sabeur M

•

Dec 20, 2023

Great Courses

By S S S

•

Jan 13, 2022

worthy course

By Jonathan V

•

Dec 18, 2020

A lot of fun!

By Geoff N

•

Aug 19, 2020

Great course!

By Kavya G

•

Jul 21, 2020

Great Course!

By Alix B

•

Jul 9, 2020

Great course!

By AbdulRahman A M

•

May 2, 2020

Lovely course

By Classic N

•

Apr 5, 2020

Great course!

By HieuCNSE150774

•

Feb 7, 2020

Nice teachers

By dheeraj k

•

Feb 3, 2020

excellent one

By Sourav S

•

Jun 30, 2019

Thank You Sir

By Virender p s

•

Jun 3, 2019

Great course.

By Viswanath M

•

Nov 14, 2018

Very helpful!

By Marakhi D

•

May 8, 2018

Great course.

By Xinjie C

•

May 22, 2024

Pretty good!

By Tien H H

•

Jan 24, 2022

Great Course