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.
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.
By Adam R•
Some of the quizzes go beyond what is in the videos and often spent ages on them.
By Nicholas K•
Enough gaps that I finished feeling like I really had no idea what was going on.
By David R M•
Requires an understanding of python that doesn't seem to be expressed anywhere
By Jose C•
I did not see any specific application of what was learned to Machine Learning
By Tory M•
All in all this course served as a good refresher for linear algebra.
By Gary M F T•
Esta en el idioma inglés. Seria factibles en el idioma español
By Alejandro T R•
Really difficult to understand the explanations of the course.
By Ayala A•
The course is good but the explanations are not clear enough.
By Ninder J•
not well explained...Rather than this go for khan's academy
By rajiv k K•
Good for rivision but I will not recommend to beginner.
By Omri S•
Good, but a lot of stuff is not explained in detail
By สิทธิพร แ•
some lessons don't cover knowledge for assignment
By Flávio H P d O•
explanation not very clear
not enought examples
By Rosana J B•
muy confuso el sistema de envío de tareas
By Hiralal P•
they should provide more examples
By Neha K•
The style of teaching is great.
By Lieu Z H•
found the course too basic
By Jadhav J N J•
By Rafael L A•
By Navya V•
By Fuad E•
It is a little messy: there are no clear definitions of Vector Space, Normed Vector Space, Euclidean Vector Space. Functions as COS and SIN are used to show basic concepts, orthogonal base, and so on. "Projection" concept always relies on base being orthogonal, projection being under 90 degree (what is 90 degree in vector space?), and space being Euclidean, although it is much simpler and applicable for just Vector Space (space without "norm" defined). Good introductory course for high-school; bad for University. Good for kids who just finished learning Pythagoras Theorem, SIN, COS, and basis of Euclidean geometry. Example of house (with number of rooms which is positive Integer number, and price which is positive Decimal) is not really a vector. Examples of non-Euclidean spaces and their applications in machine learning not provided (geometrical deep learning on graphs for example). Basic course for those completely unfamiliar with what "vector" is. Provided tests in Python are confusing because in the context we write vectors (and "base" vectors which matrix consists from) vertically, and in Python - horizontally. For example, [[1,2],[3,4]] is matrix, but it won't transform base vector [1,0] into [1,2]. This is confusing and should be mentioned before test begins.
Thank you for helping me to recall this knowledge. I finished three weeks; I may need to update review later.
By Mirian A•
Course: Definitely target for people that have solid understand of linear Algebra
Pluses: Nice and clear voice, nice demeanor, good energy
Minuses: Long and sometimes messy samples presented on the board, not following through with the samples given (changing subjects causing confusion)
Area of improvement: It would make more interesting if would make connection with real life situation where we could make use of the classes. The instruction video made the class appealing because started with an example of a real life situation that could be resolved. It would be wonderful if full course would bring same excitement.
Pluses: Unfortunately there was no plus on the exercises. I hate to say that was all pretty bad.
Minus: They were confusing. A lot of time did not make connection with what was taught.
Area of improvement : Give explanation of the answers on the test itself and not referring back to the class. Resolving one to one exercise help making sense of the course being studied.
Course overall was not good. I am very glad I did not pay for this class. However I do think if the professor changes a few things he can nail this class same way he nailed the intro.
By Matthew L•
I am new to Coursera so I have no idea of what is standard on here. Maybe this course is good relative to other courses on here, I don't know. However I do know that based on my experience I can not recommend paying for a coursera membership to take this course. This course comes with a total of less than 3.5hrs of instructional video. Considering linear algebra is usually taught with ~45 hrs of classroom instruction, this may seem short.. and it is. The course does a good job at explaining things at a conceptual level however it has few worked through example problems. The course uses quizzes and programming assignments as a way of reinforcing skills that you learn however the correct answers to the questions on quizzes are never reviewed. So if you get something wrong you'll never know what you did wrong unless you figure it out for yourself. Also the forums don't seem to be useful at all. If you are lucky another student might reply.
By Hendrik V•
The time commitment is not realistic unless you are a math wiz and experienced programmer. Take the timelines and multiply it by at least 5. Videos do an excellent job of presenting theory and application, but there is no supplemental learning material. You can have to find all of that on your own. In general the other students in the course are lost and have no idea what is going on. I recommend that you watch the videos and follow up the subject on something like Khan Academy where you can work through multiple examples. As for the coding part you need to find someone that knows how to code math in python. Would not recommend.
By Oliverio J S J•
I don't think this is a good course. The explanatory videos are not bad and they are easily understood, but they seem to be a series of unrelated concepts, you wouldn't know why those concepts are explained and where the lecturers want to go. There were tasks that had a much higher level of complexity than the videos and other tasks that were trivial. As if that weren't enough, I had repeated problems due to text format in the questions, since it was difficult to distinguish the vectors and matrices.