Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London
About the Course
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
GB
Aug 17, 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.
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.
1751 - 1775 of 2,447 Reviews for Mathematics for Machine Learning: Linear Algebra
By Seyed R M N
•Feb 6, 2022
perfecy
By Chih-Kai T
•May 7, 2021
awesome
By 郭书含
•Mar 28, 2021
深入浅出非常好
By Levina A
•Mar 7, 2021
So cool
By Indria A
•Feb 27, 2021
awesome
By Binulal N
•Dec 19, 2020
Awsome!
By Aniruddh M
•Sep 9, 2020
Superb!
By Борис Г
•Jun 1, 2020
Amazing
By latheesh K
•May 12, 2020
Awesome
By Artem V
•May 3, 2020
exelent
By Aditya S
•Dec 6, 2019
awesome
By Bhavya G
•Jul 20, 2019
Amazing
By Sheikh N I
•Jul 2, 2018
Thanks!
By Julio M
•Sep 23, 2024
Great!
By Indriana N
•Mar 22, 2023
Amzing
By RAHMITA D K
•Mar 17, 2023
Mantep
By Hoang D
•Dec 27, 2021
useful
By mochammad g r
•Mar 3, 2021
Thanks
By 龚古铮
•Feb 2, 2021
Great!
By Thanh L P
•Aug 6, 2020
Great!
By Rehab A
•Jul 4, 2020
thanks
By Flt L G R
•May 26, 2020
THANKS
By Shijing C
•Mar 27, 2019
useful
By János G
•Feb 10, 2019
Superb
By Muhammad N I
•Mar 25, 2022
great