Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London
About the Course
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.
MG
May 31, 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 2,454 Reviews for Mathematics for Machine Learning: Linear Algebra
By Helena R
•Feb 15, 2022
Course re-engineered my Lin Algebra skills. Rather challenging portions at times, But I learned patience.
By Patricio A R
•Aug 3, 2020
Permite ver claramente lo que potencialmente se puede lograr con la aplicación de los conceptos aprendidos.
By Diego C
•Jul 4, 2020
This course is a very good opportunity to introduce to the main concepts of linear algebra for data science
By Jorge L C T
•Aug 21, 2021
I recommend it for whom to are beginners, nice course to start programming in python using numpy library
By Meixin Z
•Dec 10, 2018
the content of this course is really clear, but the assignment system about program needs to be improved.
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 17, 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 17, 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 3, 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.