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 Kareem W
•Oct 29, 2023
Some of the material could have been explained better.
By Hemanth R K
•Jun 2, 2023
programming concepts should be explained more better.
By Guru P S
•Jan 11, 2024
Proper Base and path for learning linear algebra
By sitsawek s
•May 21, 2023
in week 4 not completely clear about context
By Olivier D T
•Apr 16, 2023
Very clear, greatly enjoyable! Thanks a lot!
By Evert J K
•Nov 12, 2024
Good course and gives a good understanding!
By David K
•Aug 13, 2024
Really good explanation of topics like PCA
By Aleksey C
•Jul 28, 2023
More exercises would be beneficial.
By InFluX
•Jul 25, 2023
Last week is a little confused.
By Aymen K
•Aug 7, 2024
is too hard for me but i pass
By Xiang Z
•Feb 6, 2024
it's so deffcult
By Abdullah M
•Feb 29, 2024
It is too basic
By Ryan V
•Oct 5, 2024
Very Helpful:)
By Basil E
•Nov 2, 2023
good
By M. R R
•Sep 26, 2023
good
By Abhinav J
•Sep 23, 2023
good
By Hau T
•Apr 1, 2023
First, I'm a non-native English speaker, the language barrier is really a tough challenge for me to learn this course. However, I think this course is created for international learners, so these problems should be solved: - Luis's teaching is good. But I found there are some missing information or formula needed to solve the exercise. I have to Google a lot, which mean the course is not covered well.
- Exercises are really confuse sometimes. And it's not only me, I checked and many student got confused problems on Community.
- I would love to have more illustration. Some visual effect to point out which part Luis is talking about in the presentation is also good to have. Once again English is not my primary language, and Math is a lot of numbers, symbols and a lot of terminologies. I'm pretty sure even native ones may get lost too.
- I wish there is a Discord server for students, because it's usually quicker to get response there. The community page's UI/UX and navigation is not good. - Put the Notation on top of 4 modules. Why putting it at the end? I wish I knew it earlier.
By Anil K
•Feb 2, 2024
1- Few topics I could not understand like they asked a 3X3 matrix question in the assignment but it was not discussed 2- Some assignments don't have clear instructions. Example Week 4: Question 7. 3- QnA is fine but its a bit delayed like we ask question on stack overflow and someone will answer when they see it. I think given the amount of money we are investing in this course there should be dedicated live QnA sessions. Then I can go for a 4 star rating. If i am supposed to just see videos why cant i just see it on youtube. 4- My certificate says Coursera learner instead of my name. I was expecting that to be my name.
By Kayce B
•Mar 28, 2024
The course was a success in that I have much more intuition about linear algebra now and I was able to get farther in this course than my previous attempts to learn linear algebra. Things I didn't like: the increase in difficulty in week 4 was a bit ridiculous, all of the programming assignments were "fill in the blanks" whereas I was hoping to build some stuff from scratch, and it's not clear to me how some of the later course material is applied in ML.
By Kayvon P
•Sep 29, 2023
The course was solid right up until the last week, when the material on eigenvalues and eigenvectors started to feel very rushed and poorly explained. Some questions on the quiz for this section were extremely hard to interpret as a result. Worst of all, the course did a poor job of explaining why eigenvalues and eigenvectors are important for machine learning. Aside from these shortcomings, the course deserves at least 4 stars.
By Stefano E C
•Sep 1, 2023
Visual examples are nice, but this is maths and IMO the course lack of some match way to be added.
Also, some parts of the labs problems, for graduation or not, have ambiguous parts some more words or examples can help.
I suggest take a pure linear algebra course in place of this, and after going for a machine learning course.
By Dr. O K A
•Apr 6, 2024
It's a decent course but extremely easy. The labs are merely fill in the blanks with basic programming. Hardly covers any machine learning algorithms, a basic neural net and PCA are all you will encounter. It is still a nice refresher if you need to review basic Linear Algebra concepts.
By Omar M H
•Apr 18, 2024
The programming assignemnts are very poor, the topics are simple but at the same time not explained in depth enough, especially week 4 is extremly chaotic and makes no sense. also how this is actually used in the real world of machine learning is extremly poorly presented
By Jim C
•May 19, 2023
The course assumed a lot of prior knowledge or perfect understanding; I found myself looking to Khan Academy for deeper explanations of many of the topics. Either I don't belong here, or the final programming assignment was absurd.
By Adrián J A R
•Feb 4, 2024
the course has good features but I think it lacks basic theory if you are not familiar already with linear algebra concepts. If that's the case I recommend better jon krohn free algebra courses instead of this