9. Sep. 2019
Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.
25. Aug. 2018
Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.
von Ashley Z•
17. Okt. 2019
Really recommend to all who would like to dive into machine learning with some mathematical background in vectors, matrices and eigenstuff. The instructors are very good and the homework/programming assignments are manageable while giving good insights into the application of the formulas learned in the course.
von Maksim U•
14. Okt. 2018
This is a great course. All explanations and examples are easy and useful, the tasks are challenging but solvable. Certain points of the course might be unclear for students with limited math knowledge, some tasks will make you look for extra info elsewhere. But all in all I would really recommend this course.
von Harsh D•
6. März 2019
Great Course, exceptional in every way, gives you practice drill down some of the concepts, and handy programming assignments that are fun to work with, while not a complete refresher the course is good enough to grasp essence of linear algebra to build intuitive math, rather than classical way of teaching.
von Joaquin R•
5. Nov. 2018
It has been a while since I took Linear Algebra in my undergraduate years. This course has improved my knowledge of Linear Algebra and most especially eigen theory. This will greatly enhance my understanding of Machine Learning. Thank you to the professors for imparting their knowledge of Linear Algebra.
von Sanjay B•
1. Nov. 2020
Good program for introduction level, almost no prior mathematical or programming skill required beyond high school level.
Designed to introduce key concepts on which further understanding can be built.
Nicely presented, and made interesting through quizzes es, assessments and simple programming assignments.
von Muhammad A•
16. Juli 2020
I have studied linear algebra back in high school and in undergraduate studies which were full of hand calculated computation that makes me feel bore about L.A but thanks to this course which present Linear Algebra in a really beautiful that can help you built an intuition about this branch of mathematics
von Mingyang Z•
6. Sep. 2019
Excellent course with clear instruction video to explain the concept of linear algebra. The assignment is relatively challenging to help practice the learnt concept. I wish I could learn more about some special characteristic of matrix, such as block matrix, and how to compute singular value decomposition.
von J. W•
10. Mai 2018
I took Linear Algebra in undergrad nearly 20 years ago. The instructors for this course developed the inuition behind core concepts in such a way that it made the material very accessible and provided a great basis for further study using supplementary material. I am pleased with the overall presentation.
von Ronny A•
10. Juni 2018
Excellent Linear Algebra refresher. I love it that this course distills and covers the core concepts in a very time efficient manner! Also, I am happy with the emphasis on images and graphs to develop intuition. The programming exercises such as Reflecting Bear and Page Rank have been curated well.
von Gyrdymov I•
30. Mai 2018
The lecturers gave me robust intuition that lies behind almost all main processes in linear algebra. Also, the course has pretty good visualization side (bright, useful, clear and understandable images, schemes and plots are used in this course to provide better understanding of the main concepts).
von David B•
16. Feb. 2019
The video approach to this course is really amazing. The visuals presented and the ease in understanding touch mathematical concepts made this course fantastic to take. Although I would have preferred more challenging quizzes and programming assignments the material taught was still world class.
17. Juli 2020
This is awesome. I have known the theory. But I didn't have the understanding. This course helps me to get the intuitive understanding of linear algebra. Highly recommend for anyone who needs to get the deeper understanding of linear algebra. Specially if you're not from mathematical backgrund
von Akshita B•
11. Nov. 2018
I feel this course is easy and challenging in its own way. It didn't overburden me but at the same time it made me feel that I am learning something every week. Also, they keep revising the concepts as they move forward so it helps retaining the concepts too. Cheers! I really liked the course.
von Shraavan S•
10. Nov. 2018
The interpretations given for matrix multiplication and change of basis are presented in simple terms which are easy to understand. I hadn't used Python earlier, but the programming assignments (especially the PageRank algorithm implementation) have motivated me to start learning the language.
von saeed g•
17. Okt. 2022
Despite the fact that I have a bachelor degree in mathematics, this course gave me intution about concepts like Determinant, linear transformation, diagonalization, and what actually is eigenproblem. I also gain some basics of pageRank that was so much exciting application of linear algebra.
von Moez B•
19. Juni 2019
Excellent course with top-notch videos and instructors. I highly recommend it even if you are not going into data science. The approach to teaching eigenvalues and eigenvectors in particular is very helpful for any students struggling with these concepts in a classical linear algebra course.
von Omar H•
1. Jan. 2021
Great course! This is exactly how education should be! Give us the intuition to what we are doing, relate it to real world problems and when is this knowledge useful and then get the opportunity to code that knowledge in python instead of wasting time with just hand calculations! Brilliant!
von Joshua G•
24. Feb. 2021
Fantastic course providing a broad understanding of linear algebra for machine learning. The responsive quizzes and formal assessments provide a challenge and regular feedback on performance. Highly recommend taking their course for anyone who wants to develop the maths that underpins ML.
von Hermes J D R P•
8. Juni 2019
A great course to learn the fundamentals of Linear Algebra for Machine Learning. The programming assignments in Python were the best part of the course because when I studied Algebra at my university I only did boring manual exercises. I recommend this course completely, you'll enjoy it.
23. Mai 2019
This is an incredibly great course for linear algebra. Thank you so much for the neat and elegant explanation! Highly recommend it if you focus more on calculation without knowing the meaning behind matrices and vectors in your past linear algebra journey. Thanks a lot dear professors!!
8. Sep. 2018
This course has exceeded my expectations in some ways. I was just trying to get a refresher in basics of Linear Algebra. The intuitive understandings presented in the course were really helpful and gave me a better understanding of the concepts which I only learned mechanically before.
von Jack C•
6. Apr. 2018
Great course, well presented videos and challenging but engaging content. Great high level view of linear algebra to give you a starting point for other courses. May be useful to have some machine learning knowledge before taking - Andrew Ng's course would serve as a good counterpoint.
von Ben W•
25. Nov. 2021
This course provides an excellent overview of key linear algebra topics. The instructors do a great job building intuition about matrix transformations and eigenvalues/eigenvectors. Knowledge of python isn't required but will be helpful to do calculations and try out example problems.
von Aleix L M•
28. Nov. 2019
After taking this course I can safely say that I did not understand Linear Algebra before. This course introduces basic concepts useful for machine learning and it gives a very intuitive view on abstract concepts that I had trouble understanding before. I would totally recommend it.
von Satyajit S•
18. März 2018
Great introductory course. Linear Algebra is quite often the most poorly taught/understood subject in college mathematics.This course has a done a great job in stressing on the core concepts without focusing on the computational details which happens in typical linear algebra courses