Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London
About the Course
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.
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!)
2076 - 2100 of 2,437 Reviews for Mathematics for Machine Learning: Linear Algebra
By Eduardo V O
•Aug 19, 2020
Course is great. It can improve showing some more complex examples, similar to the ones in the tests
By 李振宇
•Jan 20, 2020
Good experience for a beginner like me, and I am looking forward to completing the rest two courses!
By sai s
•Mar 17, 2019
A very basic introduction to the math that you will find in Machine Learning. Beginner level Course
By Jefo H G
•Nov 16, 2021
It would be better if more detailed explanations are given to complex problems from week 3 onward.
By Yuhao W
•Oct 8, 2020
the 2nd half part of the eigenvectors is a bit fragmented and could be given one more week on it.
By Dr. H K L
•May 5, 2020
it is good, and very use full to any one, if those are in teaching field as a mathematics teacher
By Ajay R
•Sep 11, 2019
Tough course, but got better understanding of topics related to math behind real-world ML models.
By mohammad k
•Dec 9, 2023
very good course but the assignments of last two weeks are not difficult but annoying sometimes.
By أحمد ع
•Jan 29, 2020
It's not perfect, but I hope if the last of the specialization is more practicable and flexible.
By Sudeep P
•Jun 2, 2020
I am really happy with the course as it helped me to understand the core concept of algortihms.
By Hamza F
•Mar 24, 2020
A well constructed course that can address students coming from different academic backgrounds.
By Marwa A E K
•Oct 18, 2019
I learned and developed intuition of the concepts covered in this course, which I'm happy with.
By Berkay E
•Jul 26, 2019
Some of the concepts are unclear. You need to make extra research to understand whole concepts.
By Mars F
•Apr 16, 2019
Very good I learn a lot though I get confused in Week 4 about E @ TE @ inv(E). Thank you profs!
By Vinayaka R K
•Aug 15, 2020
The eigwn vector parts could've been much much better, rest apart assignments were really good
By Mohamed A A
•Jun 23, 2020
very good for beginners who want to understand what happens in machine learning under the hood
By Md M I
•May 3, 2020
A little more assignments might be good towards the end. Otherwise, it is an excellent course.
By Alexander D K
•Aug 21, 2019
Fairly good introductory course but not a substitution for a proper LA course for ML purposes.
By Miguel Á G
•Dec 27, 2020
Very usefull to deep in the mathematical foundations of machine learning. Very recommendable.
By Andrew X
•Nov 2, 2020
In week 5, some practice questions seems a little irrelevant to the key mathematical concepts
By Aditya G
•Sep 2, 2019
The course is really nice. A bit of programming experience is needed to complete this course.
By Nishant A
•Jun 4, 2018
Brilliant brush up course. Could have had a little more about eigen vectors and eigen values
By w w
•Jul 24, 2020
it's an execlent course, but week5 should be extend to make it clear and easy to understand
By Utkarsh L
•May 15, 2020
Some video lectures should be there which will give some ideas about how to do programming.
By George P
•Apr 12, 2020
Excellent course as a refresher if you've studied Physics and need to recover the content