Great course! It gets even more complex than the linear algebra i took in college. It was quite fun and engaging, and i believe there's really valuable knowledge to be learnt here.

The course was absolutely fantastic except for the very last week, where I felt the coverage of eigenvectors and page-rank was rushed. At the same time the assignments felt harder.

I liked it!

Good leturers who are really inteested in the subject. I've bben listening to lectures with much pleasure.

Interesting assignments and quizes!

Highly recommend the course.

I'm impressed how good this course is. It provides lots of intuition, many examples and exercises about the topics and Prof. Dye is a incredibly talented instructor. Thanks a lot!

Excellent refresh of notions learned years ago at university and never applied in practice. As non-native english, it was a pleasure to hear the perfect Pronunciation of teachers!

This is a great course for learning the underlying mathematics of Machine Learning. I enjoyed every bit of the course and looking forward to the next course in the specialization.

I couldn't wait for finishing the course, im on the first week but i must say that David Dye seems like an amazing teacher. He makes hards lessons easy to understand. Thanks a lot

This course was very useful to not only revise the basic concepts from mathematics but also to start understand how these concepts are useful and used in Machine learning. Thanks.

muy bien estructurado, los exámenes se disfrutan debido a que se entienden los conceptos y las preguntas con conseptualmente profundas, no los intentes si no has visto los vídeos.

I can only recommend this course! Even though I studied Linear Algebra at university, this course was very helpful in getting better understanding of what is actually going on :)

I'm really glad that i took this course rather waste my time on binge watching.

I gave me a strong intuition about the operations and manupilaiton of matrix and coordinate systems

The course is very good only thing is you have to spent some quality time to understand in deep why linear algebra is more important and how does it involved in machine learning.

I am new to this platform...

I would have liked to have the option for the system to accept lower grade (60%) if I don't have time to do 80% but have general idea on how to do it.

If you are a bottom-up person who has to understand nuts and bolts before going up the software stack, this is the course to start your machine learning study. - From a ML newbie

The course is beneficial for the development of intuition of the underpinnings of Linear Algebra. But, the pace and details covered may sometimes be overwhelming for a beginner.

Truly fantastic. It is so clear, and the questions are the right difficulty, because they are challenging and make sure that all the concepts explained are thoroughly understood

really great. i was doing a linear algebra course elswhere and I was almost going to quit when I stumbled across this one, which was much more practical and easy to understand

Everything was very well explained except the Page Rank part.A more detailed explanation would have been better. Overall a fantastic course for understanding Mathematics for ML

I would like to extend my thanks to the Coursera team and the team from Imperial College London for giving us such a platform to learn the basics to keep our foundation strong.

Beautifully delivered and with strong foundations, this course teaches you just the right set of things you will need to build your Linear Algebra skills for Machine Learning.

Overall it has been great in being given an opportunity to dive into mathematics world with some real useful examples! Thank you very much. Hope to see you again next courses.

I've learn the basics and other interesting topics about linear algebra. I think that the lecturer's use a simple language to describe all that it is behind the linear algebra

I will recommend this course to everyone. The way I think about matrices and eigenvectors are completely changed. This course makes the Linear Algebra very easy to understand.

Well delivered course - helpful if you are familiar with python numpy, but a few of the quiz/assessment questions felt like they were outside of the scope of what was taught.

The videos are brief, yet really informative. Main aspects of the subjects are covered and the lectures communicate the ideas in an intuitive manner for better understanding.