Requires an understanding of python that doesn't seem to be expressed anywhere

I did not see any specific application of what was learned to Machine Learning

Covered topics sup up useful framework that give robust starting point

All in all this course served as a good refresher for linear algebra.

Esta en el idioma inglés. Seria factibles en el idioma español

Really difficult to understand the explanations of the course.

The course is good but the explanations are not clear enough.

The content is good, but the support could have been better.

not well explained...Rather than this go for khan's academy

Good for rivision but I will not recommend to beginner.

Good, but a lot of stuff is not explained in detail

some lessons don't cover knowledge for assignment

explanation not very clear

not enought examples

muy confuso el sistema de envío de tareas

they should provide more examples

The style of teaching is great.

found the course too basic

Good Teaching

no es bueno

challenging

good

NA

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.

sometimes David just keeps talking about some underlying relationships between the concepts, or doing a bunch of operations, while he writes nothing down or just not provide any visual representation. when he does that its very hard to follow, and i have to replay the same video 10x trying to visualize what he is talking about in my head.

the biggest issue is that throughout this whole course (atleast by week 4 that im on so far), is David did not go through any real world problem examples except for a very simplistic example about store prices, which happens to be the same example that is used by every other teacher. seeing more examples would've definitely added more value.. since many of us are learning this in prep for real applications like data science.

the university should've also put in more effort to create computer generated animations and visual representations of everything that is being taught. Linear algebra is the one of the subjects that requires the most visual intuition, so whoever decided to skip the effort on this should be fired.

that being said, i do appreciate that David tries to explain the concepts in depth and connect the dots between them. this has still been a valuable learning experience to me

Course: Definitely target for people that have solid understand of linear Algebra

Professor:

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.

Exercises/Tests:

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.