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.
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
By Aurel N•
Intuitive geometrical representations of eigenvalues and eigenvectors in 3blue1brown style. Had some concerns with a few theoretical inaccuracies of the material presented.
By Akeel A•
It was a good to review linear algebra again and see how what I learned in my first year course at university could be applied here! Plus it was good to see Python again.
By Manuel M•
The course feels very disorganized in general. Some quizzes are about 10 standard deviations from the average difficulty, which is befuddling to say the least.
It is good course for machine learning. But I didn't fully understand the page rank system with damping.
More explanation of damping is needed for the newbie.
By vignesh n•
Transition from explanation of basic to advanced concepts could have been better. There was an assumption that few things was already know to the learner.
By Alexander D•
Not enough focus on how material connects to machine learning. A case study example would help, as would a very slow, detailed step-by-step illustration.
By Santiago M•
Nice one. But realized I needed more foundation on this matter. So decided to abandon and level up my topic knowledge in Khan Acadamy. I will be back.
By Cindy X•
I think this course is a little bit hard for a beginner with python. And I hope that the teacher can talk more about the Machine learning part.
By Christos G•
Very good explanations on difficult subjects but a bit short coverage of various cases, thus some assignments and quizzes were challenging.
By Atish B•
Answers to Several questions in Week 5 quiz around eigen values and eigen vectors need to be revisited as they donot appear to be correct.
By Serdar D•
This course consists of very fundamentals of linear algebra. I expected advanced linear algebra contents and more software applications.
By Amal J•
The course gives a good beginner-friendly Introduction to Linear Algebra. But the courses could cover a little more topics in LA.
By Jorge G•
I would give it 3.7, examples are good but the vectors the lecturer draw were no easy to understand because of drawing by hand.
By Badri T•
The Eigen system could have been better explained. The last quiz was too hard and the concepts required were not covered
By Aaron H•
Lot of the concepts seemed glossed over and could have used more guided practice and/or linkages to real world problems.
By Indira P•
It is so complex and contains so much knowledge but hard to understand for beginner or intermediate in mathematic
By Kate G•
The instructor is skipping a lot of material and the quizzes require working with external sources to be solved.
By Matt P•
This course would be perfect if more elaboration on the maths required to complete the quizzes, was provided.
By N s n r•
i expected a practical mathematic approach rather than only mathematical approach.but page rank algo is good
The course could give more insights on a number of topics and it was very brief which made a bit frustrated
By Tony M•
Good course, but could add extra steps for those a little rusty with algebra, matrices, vectors and so on.
By Jared E•
Overall good, but some nasty difficulty with the programming assignments... especially the last one.
By Almir B•
The programming part is too confusing for someone that is just starting.
Thanks for the opportunity.
By Aniket D B•
Everything is good. But I still don't have any idea about how I will use this in Machine learning.
By Alberto M•
Good material if you want to refresh your knowledge, poor programming assignment support/feedback