MG
May 30, 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!)
GB
Aug 16, 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.
By Hema M
•Dec 27, 2023
This course really helped me understand the concepts of vectors, matrices and eigen values. Really grateful for this experience.
By Mazhar A Z A
•Aug 27, 2020
This course is very helpful for me. Revised my Linear Algebra with the help of machine Learning. Loved this page rank algorithm.
By DESHPANDE H S
•Jul 16, 2020
The tutors and the overall program was superb I wish I had enough money to travel to London and take admission at this instittue
By Pete F
•Jul 6, 2020
Great course. Some really challenging assignments and tasks! It was also great to get a little insight to Google's site ranking.
By Iswarya K V
•Jun 27, 2020
Great content delivered in a very concise manner with adequate examples and visualizations to aid in understanding the concepts.
By Neeraj R
•Jan 26, 2019
I had already looked at Khan Academy and 3bluebrown1 before taking this course.
This course packs the best of both in one place.
By Александр Е
•Dec 26, 2024
really easy to understand via this course , interesting theme, choosen examples - wonderful way to represent concept! love it!
By Hiren G
•Oct 11, 2020
Thanks for this wonderful course of mathematics I have learn new practical applications of linear algebra in machine learning .
By Shenyi H
•Aug 16, 2020
This course is kinda challenging for those who have never learned linear algebra before. But generally I recommend this course.
By Edward A
•May 22, 2020
Exactly what I wanted. I am far better equipped to deal with linear algebra and the inner workings of machine learning models.
By Awez H
•Apr 12, 2020
This is Helped me to bridged the gap of understanding mathematical concept and to how I can use this in computational domain.
By Munesh L
•May 15, 2018
Checked few courses and finally found this one providing great intuition and lots of confidence go deeper into neural networks.
By Hao W
•Jun 7, 2020
It is a good math course to provide basic and useful understanding on the Linear Algebra. Thanks to the tutors. Good Teaching!
By Adman A
•Aug 1, 2019
Very interesting course. I realy enjoyed all the explanations, the geometrical hints on every concept introduced.
Thanks à lot
By Nalluri R
•Sep 27, 2020
Wow! Amazing course. The way it is taught gives insights into various operations on matrices and vectors. Highly recommended!
By 83 E Y M
•Apr 18, 2020
I literally completed this course in a week. This is so interesting. I have recommended almost 10 of my friends to take this.
By Luis F S U
•Aug 21, 2019
I think it is and excellent course because it has a really intuitively way of explaining important concepts of linear algebra
By Zhuoyu C
•Nov 23, 2019
From a different point of view to learn linear algebra from my undergraduate study, which is really good and more intuitive!
By Ajay S
•Feb 21, 2019
A great course to learn mathematics for machine learning . Learn a lot thanks for providing me financial aid for the course.
By Zhike C (
•May 22, 2020
Very, refresh my knowledge and help me build the intuition about linear algebra. Linear algebra became fun and easy for me.
By Saransh G
•Apr 12, 2020
One of the best courses on Linear Algebra (in a 4-5 week format) that focuses on building intuition using different lenses.
By Saras A
•Dec 10, 2019
Very quick thorough covering of the fundamentals of Linear Algebra as applicable to ML.
It has some decent Python stuff too.
By Kenny G
•Jul 29, 2019
Loved the course, the difficulty is a bit uneven between some lessons but overall, I am satisfied with the overall quality.
By Aditya B
•Apr 24, 2018
A beautiful course to give you an insight about the geometric interpretation of ML and get an intuition of various concepts