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.
Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.
교육 기관: Patrick F•
Really good course, would recommend! 4 Stars, because there is no written transcript with the Formula and examples in the videos available.
교육 기관: S M A H•
Course is very interesting and informative, but I found a couple of quiz aren't aligned with course material. These things need to improve.
교육 기관: Pablo S V•
Pretty basic, I hope it gets more into machine learning techniques in the next two parts of the course, as this one is just basic algebra
교육 기관: Gajendra S•
Really cool course, the Page Rank part was the only tough deal for me, I liked the overall course, thanks for this amazing experience! :)
교육 기관: Luis M V F•
It would be better if they have more challenging assignments, and if they had a more detailed explanation of some mathematical concepts.
교육 기관: Angelo S d O•
Nice refresher! Excellent instructors! Not recommended as a first Linear Algebra course though. I would go for MIT OpenCourseware first.
교육 기관: Lasal J•
All the first four weeks were well comprehensive and clear. Week 5 (last week) on eigenvalues seemed rushed and could have been better.
교육 기관: Jitendra S R•
This is really a very good course. To the point explanations. No more no less. Assignment Notebook links do have some problems though.
교육 기관: Mohamed B•
The concepts are explained clearly, but someone who has already done some machine learning before might find some parts unchallenging
교육 기관: Aditya J•
Overall great. But can get tough to follow at times and feel that more and in-depth explanation would be required at certain places.
교육 기관: Cirus I•
A fun way to review Linear Algebra basics focused on its applications on Machine Learning.
Good structure, nice pace, solid content.
교육 기관: Gurbaaz S G•
The course was informative and helpful. it helped me bring back concepts that I had forgot and also taught me a bit about python.
교육 기관: Alex W•
Basic knowledge about machine learning, but very useful, maybe this course should be tagged as higher level, instead of beginner.
교육 기관: Valeria•
I really enjoyed how much graphical explanation there was here. It finally starts making sense why we use matrices and vectors.
교육 기관: Mobarak H S•
The quiz challenge was good for me to better understand this course. And the length of video enough short to not to feel bore.
교육 기관: Ahmad A A D•
this course is good for giving introduction, but for depth understanding you should accompany with another resource materials
교육 기관: Joanna M•
Great course, but there are some bugs in automatic assignment grading, and the instructors are not responsive on the forums.
교육 기관: Sherina M•
The difficulty of the problem in the quiz and the example in the video is too far, the problem in the quiz is so much harder
교육 기관: Jayaram O•
Important concepts of Linear Algebra for ML explained in a beautiful multi-dimensional method including theory and practice.
교육 기관: Dharv P•
Very Good Course, You will learn linear algebra in this course and most loved part of course for me is pagerank assignment.
교육 기관: Peter S•
A good course with some significant leaps in competence required for those of us with a social science/business background
교육 기관: Kartikeya S•
Course was nice,but if you provide more example of real world usage of Linear Algebra in Machine Learning it would be nice
교육 기관: Rahul B•
This was course made my intuition for underlying mathematics when using machine learning much more stronger and efficient.
교육 기관: Muhammad E•
the course is a bit challenging i would recommend that you better get yourself familiar with basic linear algebra first
교육 기관: Sudhir N•
Good refresher for basic concepts learnt in the University ages ago. WOuld like to have more real life Business examples