Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London
About the Course
Top reviews
NS
Dec 22, 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.
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
2001 - 2025 of 2,373 Reviews for Mathematics for Machine Learning: Linear Algebra
By Shubham K
•Aug 31, 2019
The course is great with really good teaching community , as a beginner it was a really good experience.
By Akwila F
•Sep 10, 2020
Perfect for anyone who wants to take specialization but not recommended for beginners in linear algebra
By José D
•Sep 15, 2018
Good video & subtitles for non-english speaker, practical examples, good introduction to linear algebra
By Mario H
•Mar 20, 2022
the clarity in eigen section is not really good IMO, but overall the course is good and understandable
By Stylianos V
•Jul 26, 2020
Very good course for an introduction in linear algebra with many useful concepts for machine learning
By Harry L
•Apr 8, 2020
Excellent syllabus and lectures. However, a detail explanation of each practice quiz should be given.
By Prashant D
•Feb 16, 2019
Good explanation. Some of the exercises and quizzes need a deeper understanding of the course content
By Alvaro S
•May 22, 2018
Great course! I have learned about linear algebra, some geometry, and a bit of programming in Python.
By Grant W
•Jan 4, 2022
It was a good course for reviewing the topic. It's probably not great for people new to the subject.
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 Ahmad O
•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