22. Dez. 2018
Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.
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 Jorge V•
11. Nov. 2018
Great content and direction. Only negative is the sometimes frustrating experience with the Jupyter Notebooks: debugging what has gone wrong is very difficult, due to a lack of good error messages.
von Marco K•
30. März 2020
Be careful as a beginner in coding. It might be frustrating from time to time. I have spent the majority of my timing on the coding . At the end worthwhile, but did not feel that way at that time
von Milan S•
8. Mai 2018
Good, but sometimes it is neccessary to look for supporting materials. I took this course in combination with MIT course in LA and this offered another, more practice oriented, view on the topic.
von Tanmoy D•
7. Juni 2018
The course is a great resource to brush up on the fundamentals of linear algebra and learn about the meaning behind the math.It prepares people for any further courses which use linear algebra.
von Keshav B•
13. Juni 2020
This course was very insightful. The instruction was well done with expressing the intuition, but the process was left vague on a few concepts and required me to look up worked out examples.
von Lalpekhlua L•
17. Juli 2021
I think it is a great course. It is definitely not for beginners and I feel the lectures are somewhat rushed on some videos. It is best to view this course as a supplement and not as a main
von Sharon I•
27. März 2022
good videos and good instructors; programming assigments could be a little bit clearer in the instructions. Overall good for understanding the maths behind Machine Learning. Thank you!
von shashank s•
17. Feb. 2020
The course was good but it could have been better if the exercises had more difficult questions or probably a section with more difficult questions using the concepts that were taught.
von ASIFIWE E•
2. März 2021
This is excellent course provided as fundamental skills required in Machine learning journey. I was excited to be learn from best lecturers ever and, thanks to Imperial College.
von Gurudu S R•
18. Aug. 2019
1.Need more clarity on calculating Eigen vectors using back substitution of Eigen values.
2. Power Iteration method for the Page Rank Algorithm should be more specific and clear.
von Phuong N•
24. Sep. 2018
The course can help me more clearly when approach some algorithms in the optimize function of Machine learning. Thanks coursera and Imperial London College about this course.
von Tom F•
28. Dez. 2021
A really well structured course, a few minor problems with the coding assignment formatting but otherwise all the topics were covered in depth with plenty of application tests.
von Sri C D•
16. Juli 2020
The instructors and the way of their explanation are a huge benefit of this course. The intuition they provided each step in Linear and Vector Algebra are really appreciable.
von Elliott P•
30. Apr. 2019
It's a very good course given that it's so short. It was exactly what I was expecting. I thought it could have had more examples of solving problems with specific techniques.
11. Apr. 2018
Very interesting presentation of matrices and vectors. The questions in quizzes could be improved by making them clear. May be you could add another course on eigen analysis.
von NAVEEN R•
2. Aug. 2020
Topics are explained neatly but lacked in depth explanation in few topics and i suggest to include more application oriented examples to every topics covered in the course.
von Amer M•
28. Juni 2020
Good Course, It shows Linear Algebra from different perspective. You should not be good in math because the math is not advanced here, but you should be excellent in Python.
von Alek C•
7. Dez. 2020
This course is can be challenging but the material is good and i trust this over a university program since this course is applied concepts and works with lite programming.
von rezvaneh z•
19. Apr. 2020
It really was useful, but need a little bit more concentrated discussion forums. cause many questions were still unanswered there.
but thank you all, it really helped me :)
von JAY C•
30. Juni 2019
I think the concepts are explained clearly, with ample examples to real life. Much easier to understand this time around. The coding labs could use more pointers though.
von Victor D•
14. Juli 2020
it is quite intuitive, the programing tools are easy to use. I think its perfect for those people who have some math background but don't want to go deeper into theory
von Jaumir V D S J•
17. März 2019
The course by no means replace a full semester course on linear algebra, but it´s useful for those who had already had a course on L.A. years ago and want a refresher.
von David G R A•
4. März 2021
All the lectures were great, and pretty straightforward, but, some programming assestments were too dificult and not so useful in order to help to grasp the concepts.
von João M G•
28. Juli 2019
The course is a good review of linear algebra for machine learning. But It would have been better if there were more code exercises and if they were more challenging.