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.
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.
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.
автор: Vignesh N M•
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.
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: Amal J•
The course gives a good beginner-friendly Introduction to Linear Algebra. But the courses could cover a little more topics in LA.
автор: 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.
автор: Badri T•
The Eigen system could have been better explained. The last quiz was too hard and the concepts required were not covered
автор: Aaron H•
Lot of the concepts seemed glossed over and could have used more guided practice and/or linkages to real world problems.
автор: Kate G•
The instructor is skipping a lot of material and the quizzes require working with external sources to be solved.
This course would be perfect if more elaboration on the maths required to complete the quizzes, was provided.
автор: N s n r•
i expected a practical mathematic approach rather than only mathematical approach.but page rank algo is good
автор: Tony M•
Good course, but could add extra steps for those a little rusty with algebra, matrices, vectors and so on.
автор: Jared E•
Overall good, but some nasty difficulty with the programming assignments... especially the last one.
автор: Almir B•
The programming part is too confusing for someone that is just starting.
Thanks for the opportunity.
автор: Aniket D B•
Everything is good. But I still don't have any idea about how I will use this in Machine learning.
автор: Alberto M•
Good material if you want to refresh your knowledge, poor programming assignment support/feedback
автор: Ahmad A R•
Repetitive/redundant questions in the assignment and minimal use of coding during the videos
автор: Carlos R T G R•
The videos need to be updated, there are quite some errors that are already identified...
автор: rishabh t•
Explainations was good but some topics was difficult to get may be due to my basics
автор: Adam R•
Some of the quizzes go beyond what is in the videos and often spent ages on them.
автор: Nicholas K•
Enough gaps that I finished feeling like I really had no idea what was going on.
автор: David R M•
Requires an understanding of python that doesn't seem to be expressed anywhere
автор: Jose H C•
I did not see any specific application of what was learned to Machine Learning