This is the least effective course among the three courses in this specialization. The reading materials have no context. People who have not been around those math symbols have no idea what the reading materials mean. They are not intuitive at all. The design of the assignments are poor as well.

This course has been a nightmare. Dense and obscure lectures, "challenging" assignments asking for things that haven't been properly taught in the lectures and often unclear instructions.

Yes, some useful concepts are taught but overall it's rather a waste of time.

Programming assignments seemed to be written from a completely different direction, and instructions are vague and misleading. (The math assignments were not so bad.) There was no staff or mrntor engagement in the forums during the period of the course.

Unlike the prior courses in the series, topics not clearly explained and brought too sudden. Also none of calculations shown completely, instructor just wrote results in the end. Due to all these reason I was not able to finish the course.

The course assignments could be improved dramatically, though the course itself has very good content if you want to have a taste of how linear algebra (predominantly) can be implemented to solve machine learning problems.

First two courses in this series are great but not this one. Lectures and exercises are not related. I do not feel like I have totally understood PCA. Was able to complete the final assignment thanks to the internet.

The course is awful, it's nothing compare to previous 2 courses. It has a lot of errors in assignments objectives and quizzes! The explanation is complete crap! I'm wondering how was it even allowed on Coursera?!

The theory is well explained and the level of complexity is very similar to a University course, but the assignment environment is buggy and the assignments are poorly designed and very frustrating.

Needs to demo a little bit of code owing to the complexity of the course content.Lectures gives just a high level understanding only. Assignments are taking far more complicated than expected.

Even though the videos and quizzes are well produced and informative, the assignments are so poorly designed that they can only bring about some frustration with the learning process.

assignment and quiz are not well designed. the knowledge covered in lectures are not enough to complete assignments. The first two courses in this specialization is much better.

Faced a lot of problems in exercises. Don't feel that i have completely understood the concepts. This course can be made more learner friendly with better explanations.

not a good course for beginners in machine learning, concepts need to be explained more clearly. Other courses in this specialization were way better than this one.

Explaination of many things are skipped, assumption was made by the instructor that lot of things were already known by the learner. It could have been much better.

The difficulty of the course is inadequate and the pace is not balanced. Requires a lot of search for additional resources to understand materials. I cancelled.

Response to questions is very slow. Support to learners is not sufficient

Programming assignments are not explained well (some I believe have errors)

After first two amazing courses in this specialisation, third course was a huge let down. One skill I learnt from this last course is patience.

Lack of examples to clarify abstract concepts. Big contrast in quality compared to the other courses in this specialization.

Poor explanation by the instructor. Previous ones were very helpful. I didn't understand many topics well

Everything is okay but there is a huge drawback with the programming explanation part.

very wired assignment, a lot of error in template code. The concept is not clear.

The lectures were not clear. I had to use other sources to understand lectures.

This course was the hardest I encountered in this specialisation.

it was not clear alot of the time and it was really hard

Way worse than the previous courses. Lacks explanations