This is one of the best courses on Coursera because of the great instructors, excellent Materials and challenging assignments. It showed us how to apply all the Math we learned in Python.

I liked the course very much - a very high quality material that I would recommend for people who want to improve their knowledge on the mathematical concepts used in Machine Learning

Great course for understanding the application of linear algebra in machine learning. Though compared to what I learned in class, they are relatively shallow, but more useful. Thanks~

If you're looking at refreshing your knowledge of linear algebra for machine learning, this is good course to take. Provides just about enough insights to application of linalg in ML.

Innovative instruction methods, easy to follow and very practical. Although I've taken linear algebra before, the course has helped me refresh my knowledge and learn new applications.

Strong review of linear algebra concepts with emphasis on intuitions for machine learning. Excited and engaging professors, good pace, worthwhile exercises, good programming examples.

Fantastic course that develops the intuition behind Linear Algebra. I'm glad I did it.

I would couple this course with MIT prof Gilbert Strang's lectures on linear algebra on MIT OCW.

I thank so much the Mathematics for machine learning: Linear Algebra, After the course I can apply math to machine learning and understand the importance of math in machine learning.

Thanks for your gentle teaching through five weeks. I have a suggestion for WEEK5: the final exam answers could be more detailed as students can revise their coursework. All the best

Concise but very helpful in providing introduction to linear algebra and how it actually fits in the scope of machine learning.Excited to try out the other parts of this course too.

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!

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.

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

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

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.

Loved it. One of the best courses I have taken in Coursera so far. The thoughtfulness with which the content is developed and delivered, technology used etc. are impeccable.

Really the content of the course and the Instructor are amazing really thanks as i understand how we can map the linear algebra to the real life especially Machine Learning

Enjoyed a lot this course! Its very practical and visual, the assignments are fun and I learned a lot from them. Sometimes it was quite challenging, but not overwhelming.

very well designed course. After a long search for perfect math intro to ML this was the perfect course i stumbled upon. Instructors are engaging and content is relevant.

I really enjoyed this course esp the way it was taught .The presenter used geometrical representation to make the theory understand. There was no need to refer the book.