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
NS
Dec 23, 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.
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.
2151 - 2175 of 2,448 Reviews for Mathematics for Machine Learning: Linear Algebra
By KURRA S S 2
•Dec 27, 2022
It is so useful to me for getting the knowledge in machine learning
By Sharad K L
•Mar 9, 2020
Exams were hard and most of the exams were source of the knowledge.
By JOSÉ M B D
•Jan 25, 2020
excelente curso, me gustaría que se complementara con programación.
By Karan P
•Apr 25, 2025
Eigen values and vectors portion was taught really really well.!
By Eduardo G R G
•Feb 5, 2024
i would prefer less explanation on the methods and more examples
By Jihun Y
•Jan 3, 2022
teaching essential, doesn't cover many topics, but well curated!
By Sai V P
•Aug 14, 2020
Decent course. Wish things were explained in a more detailed way
By Ng Y Y
•Jun 21, 2019
Good overview and introduction to key concepts of linear algebra
By Mohammed K A
•Feb 12, 2022
need some use of visualisation in some topic like change basis
By fatima s
•Jun 18, 2020
Wish it was a bit more spontaneous but overall great content!!
By Vincent C
•Apr 18, 2024
Explanation is good, but there are mistakes in the lectures.
By Gautam K
•Mar 7, 2019
Highly recommended course for beginners in Machine Learning.
By Deleted A
•Jan 3, 2019
Good grounding in the fundamental mathematics needed for ML
By Alagu P P G
•Jun 18, 2020
good start up for algebra enthusiasist.
a strong foundation
By Deleted A
•Apr 23, 2020
I felt that lectures aren't enough to solve the exercises.
By celwang
•Mar 24, 2020
good course ! but some of the formula should be more clear
By 谢迟
•Jun 25, 2018
The core idea of eigenvalue and eigenvector is very good.
By Andini A M
•Mar 12, 2021
I thought it was lacking in practice before the LAB test
By Pakpoom S
•Aug 6, 2021
Good course but should dig more deeper in math concepts
By 张力
•Feb 6, 2021
Inspired me how to look at matrix, but not deep enough
By Kirill P
•Dec 19, 2023
Good for people who know the basics of linear algebra
By Alisa G
•Apr 25, 2020
great teachers, very practical quizzes and examples!
By Monhanmod K
•Oct 11, 2018
not bad, I feel the information is not enough for ML
By Rahul S
•Jun 21, 2020
like a building blocks for one step forward into AI
By Aniruddhan P N
•May 29, 2020
Excellent Introduction to the concepts, Thank you!