Clear and concise. It will be better if they use graphical representation akin to 3blue1brown because it's really build up the concept in the simple and easy manner.

The seminar gave a much better conceptual understanding of linear algebra that I have not appreciated from previous course work. I thoroughly enjoy all the lectures

It give me basic understanding of vectors and matrices. Understand the concepts of eigen values and eigen vectors and got understanding of how google pagerank works.

This is a top intro class and looks at linear algebra from first principles , focusing on the intuition (and the math follows very smoothly). Perfect class, really!

A really good refresher of past concepts. It builds intuition into basics that bug many people. This course can help anyone build a good foundation in Linear Algebra

Excellent foundation course , gave me an idea how linear algebra being used for algorithms developing and enhance my intuitive about solving linear algebra problems

Excellent course to learn Linear algebra. Thank you to the whole team worked for making this course available to the whole world. Special thanks to the instructors.

The 5 star goes for only and only the educator. I could never find such energy and enthusiasm in a teacher teaching Mathematics. Hope he teaches other subjects too!

Excelent course. I enjoyed and learn a lot. A great decision to start a Machine Learning course at Imperial. Ready for the second course of the especialization. :)

Highly interactive and amazing course with great learning experience . Thanks to the instructors and there tremendous efforts to explain things in a lucid manner .

Small pieces tackled one at a time, but with some challenging exercises. Not a substitute for a full linear algebra course, but a great coverage of the highlights.

Awesome! I didn't know how much I needed this reinforcement, as I had my linear algebra near to 30 years ago. Congratulations to Dave and Sam, two great teachers !

Truly a wonderful course. I wish you could have touched on the interpretation of determinants a bit more. Especially since strong knowledge of it is needed in PCA.

Loved the course. The codes were quite hard to understand but I managed to understand it after a some hard work. Overall good experience. Highly recommend for all.

I really liked the pace of this course. Not too fast, not too slow. I also enjoyed the focus on intuitive understandings and linear algebra in the context of ML.

Great introduction to linear Algebra! Wish my college experience was this good! I highly recommend an iPad Pro and Apple pencil to take notes. Man this is awesome.

Unbelievably well designed course! This is one of the great MOOCs I have ever taken. The instructors are extremely talented. I love how they made Mathematics fun.

This course cleared many of my doubts in applying Linear Algebra to practical problems. The explanations and presentations from the instructors were very helpful.

great class, only focused on the core concepts of linear algebra, and try to build a intuition of how these concepts fit in later on machine learning applications

This is my first Course which I learned.I've learned too many things like Vectors,Matrices,Eigenvalues,Eigenvectors and python programming for ml.Thank you guys.

you must do this course...the best course to learn mathematics behind machine learning. Look no further.This is an amazing million dollar course for data science

This course is amazing! I learned so much and get new skillsets in basic linear algebra. The instructors are very competent and explain the materials very well.

Easy to get the concepts of Vectors, Eigen Values, Eigen Vectors, and Page Rank algorithm. I can now implement some algorithms which needs matrix manipulations.

Great content, clarity and visualisations. I found this course extremely useful, it gives me fundamentals to understand more advanced machine learning problems.

I enjoyed to follow David Dye and Samuel J. Cooper on their journey through linear algebra. Especially the visuals helped me a lot to understand the concepts.