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.
8. Aug. 2021
the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering
von Gurbaaz S G•
13. Mai 2021
The course was informative and helpful. it helped me bring back concepts that I had forgot and also taught me a bit about python.
von Alex W•
8. Juli 2019
Basic knowledge about machine learning, but very useful, maybe this course should be tagged as higher level, instead of beginner.
26. Juni 2018
I really enjoyed how much graphical explanation there was here. It finally starts making sense why we use matrices and vectors.
von Mobarak H S•
13. Apr. 2020
The quiz challenge was good for me to better understand this course. And the length of video enough short to not to feel bore.
von Ahmad A A D•
11. Nov. 2020
this course is good for giving introduction, but for depth understanding you should accompany with another resource materials
von Joanna M•
6. Apr. 2021
Great course, but there are some bugs in automatic assignment grading, and the instructors are not responsive on the forums.
von Sherina M•
11. März 2021
The difficulty of the problem in the quiz and the example in the video is too far, the problem in the quiz is so much harder
von Jayaram O•
14. Juni 2020
Important concepts of Linear Algebra for ML explained in a beautiful multi-dimensional method including theory and practice.
von Dharv P•
22. Juli 2020
Very Good Course, You will learn linear algebra in this course and most loved part of course for me is pagerank assignment.
von Peter S•
8. Okt. 2020
A good course with some significant leaps in competence required for those of us with a social science/business background
von Kartikeya S•
2. Juni 2020
Course was nice,but if you provide more example of real world usage of Linear Algebra in Machine Learning it would be nice
von Rahul B•
22. Apr. 2020
This was course made my intuition for underlying mathematics when using machine learning much more stronger and efficient.
von Muhammad E•
8. Aug. 2020
the course is a bit challenging i would recommend that you better get yourself familiar with basic linear algebra first
von Sudhir N•
31. Mai 2019
Good refresher for basic concepts learnt in the University ages ago. WOuld like to have more real life Business examples
von jiang y•
15. Aug. 2020
this is a very nice and useful lesson.
but sometime I need to search for more knowledge to help me finished my home work
von Dhruv A•
31. Juli 2020
Brilliantly conducted. Provides a great introduction to linear algebra allowing the learner to start diving in further.
von Daniel T•
18. Juni 2019
It would be better if it had lecture notes. Reviewing the material and writing it down requires rewatching the lectures
von Robert S•
18. Aug. 2018
The linear algebra was taught in an easy to understand manor but the applications in machine learning were quite sparse
von Marcos G A•
7. Juli 2020
Should share additional videos (like links to khan academy if the student needs to learn more or wants to get deeper).
von Weiyu G•
12. Aug. 2019
It is really intuitive and good for people who have little idea of Linear Algebra. The best part is the PageRank Algo.
von James H•
24. Mai 2018
Programming assignments failed to save and submit sometimes. But the course itself was well taught and at a good pace
von Alex S•
8. Aug. 2018
The instructors are very good in delivering the course content..However, more reading resources should be provided.
von Isaac N•
18. Apr. 2018
Provides a good understanding of Linear Algebra for Machine Learning. However, it is a little lacking in exercises.
von Rishabh D•
15. März 2020
There were some problems with the notebooks used in the assignments but apart from that this course was brilliant.
von SAMUEL D S A•
9. Mai 2020
Achei que haveria uma pequena introdução ou explicação de como seria usado esse conhecimento em Machine Learning.