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
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!)
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.
1776 - 1800 of 2,433 Reviews for Mathematics for Machine Learning: Linear Algebra
By Piriyadarshini K
•May 24, 2023
good
By Muhammad K M
•Mar 31, 2023
good
By Muhammad J
•Mar 28, 2023
Good
By Angger M R
•Mar 16, 2023
good
By Fitrah S
•Mar 16, 2023
cool
By Kaushal A
•Jan 27, 2023
Good
By Elkin A V S
•Apr 14, 2022
good
By Doni S
•Mar 27, 2022
Good
By Quế A
•Jul 24, 2021
nice
By 안병수
•Jul 16, 2021
good
By 지홍근
•Apr 2, 2021
good
By Alivia Z
•Mar 18, 2021
good
By Habib B K
•Mar 10, 2021
Nice
By Jatu K R
•Mar 10, 2021
nice
By Ahmad H N
•Mar 1, 2021
Good
By Hana B
•Feb 28, 2021
good
By Indah D S
•Feb 26, 2021
good
By Layyinatus S
•Feb 24, 2021
wow!
By Felix C
•Feb 23, 2021
good
By Merey O
•Dec 11, 2020
nice
By Yiya W
•Nov 30, 2020
good
By RAGHUVEER S D
•Jul 25, 2020
good
By Chow K M
•Jul 24, 2020
G
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By Jay
•Jul 22, 2020
good
By moksha m
•Jul 17, 2020
good