NA
Jun 17, 2023
Very visual and application oriented and gives the context for machine learning and where linAL is applied in PCA and neural networks. The structure is really byte sized and fun to work with.
SP
Jul 26, 2023
This course is truly exceptional for individuals eager to strengthen their grasp of Linear Algebra concepts, paving the way for a deeper understanding of machine learning and data science.
By Nathan L
•Jul 22, 2023
Some stuff left unclear & issues in some notebooks, otherwise great, I appreciated all the graphs explanations that made the course more understandable than when I had learned it at school
By Fahad H
•Jun 22, 2023
A bit more detail into the complex topics of eigen values and eigen vectors would have been helpful. Also notebooks could have been oriented more towards the practical use of the concepts.
By Ra‚ K
•Sep 23, 2023
I enjoyed the course very much but I found that week 4, especially the Eigenvalues and Eigenvectors explanation were not complete. This section can be definitely improved.
By Laure P K
•Mar 31, 2023
Well explained and well paced. I had more trouble at the end with the Eigenvectors series. Since I had no prior programming, I did not do well with the Python labs.
By Parsa J
•Nov 29, 2023
Great course with easy to understand material but it doesn't have any videos in programming lab section and is confusing in some parts in the beforementioned labs.
By Wafa A
•Feb 7, 2023
I face some difficulty at the python part, since I have a tiny knoladeg at that part other than this every thing was really good! I enjoyed the course.
By Thokachichu T
•Jun 16, 2023
Opened my eyes about the concepts i've learned in my UG studies...which i've been wondering how to implement practically, especially in ML and DS : )
By Cheater F
•Jul 7, 2023
It's a great course with professional professors but there is one problem i hoped they made lab lessons videos but overall I loved it.
By Jathavan S
•Jan 6, 2024
Good course, programming assignments were partially too easy. Portion around eigenvalues and eigenvectors appears to be a bit rushed.
By Douglas L
•Oct 5, 2023
The course was excellent – clear videos with great content, and the problems were set at a good level, as were the programming labs.
By Emmanuel M M B
•Jul 16, 2023
The eigenvalues and eigenvectors week is not clear and seems to have been rushed over. Otherwise the other weeks were clear.
By Arjun N
•Jul 23, 2024
He was confusing at time but the basic revision of all these concepts and how it links to machine learning was helpful .
By rifqi a
•Oct 9, 2024
the lesson is insightful but also a little bit difficult. maybe I need more time to rewatch the video to understand
By Putri R N M
•Mar 19, 2024
I'm overwhelmed at coding sections, I'm soo confused that i started crying, but overall, that was great experience.
By Антоніна Т
•Aug 1, 2024
sometimes it's hard to understand, but it's really cool! Thank you to everyone who helped to create this course!
By Abraham O
•Oct 23, 2023
It's hard but I loved it. I would have preferred the instructor did more labs or a video of them doing the labs.
By S S P (
•May 27, 2023
Course syllabus and structure is great, but I felt like there was not enough practice problems and examples.
By Luisana F
•Dec 27, 2023
Some concepts were a little complex to understand however, I did learn a lot and I'm very grateful for that
By Hajji H
•May 31, 2023
great course, it really does a great job of getting you familiar with important topics in linear algebra.
By deidelma 0
•Sep 27, 2023
Good quality teaching, but the lack of enough worked examples detracts a bit from the educational value.
By mohammad a j
•Jul 25, 2023
in last course quize there was a question that it seems there was not any material about that question.
By Rohan J
•Jul 27, 2023
The course is really Good with practical examples. The instructor also explains everything clearly
By Naman
•Dec 1, 2024
The course was great and helpful. I appreciate the educator for his way of teaching the concepts.
By Erfan G
•Mar 11, 2023
the last part(eigen values and vectors) is very complicate, I guess it has to explain more
By Abiha Z
•Nov 10, 2024
Awesome course and very flexible to do. Many important topics are covered in this course.