It's a shame. There's lots of good material and I learned a lot. But a staggering amount of time was wasted figuring out gaps in the instructions - portions felt more like hazing than teaching.

Instructor made a good attempt to cover these complex topic. However, these topics should be supported with more examples and also provide more intuitive examples as in previous 2 courses.

Quite difficult to follow at times, lecturer not as engaging or clear as the other modules, and not being able to submit a notebook without download and submission was confusing

The derivatiion of the PCA in the last week can be broken into 2 weeks with different programming assignments to get a closer and more confident understanding of the PCA method.

I would ask the lecturer to go on more detail on the explanations and do (more) examples.

The lecturer tends to skip a few steps during calculations and demonstrations.

Difficult course even having completed the two courses that precede it. Some concepts introduced here as assumed knowledge that were not covered in the prior courses.

The week 2 code was more difficult than the other weeks. The forums are no longer attended by the professors. The access to materials from IC is great.

The knowledge introduced in this course is really helpful. However, the programming assignments are very time consuming and not necessarily relevent

Thank for the excellent course content but i think it would be nice if teacher could do more example or apply than just math formula introduction

Decent explanations of PCA idea, but assignments do not provide a clear feedback of what is wrong with the implementation util you get it right.

this is a great course except the assignment has quite a few bugs and the videos are too short and lack many topics, and the quiz are too short

The First 2 courses of this specialization were very good. I really wish the instructor for this course went into a little more depth.

Average quality with low regard for intuition. Content is often Wikipedia pages or references to own content (chapters of own book).

The course was highly challenging. I wish some of the explanations were detailed and the assignments had better instructions.

Course is very high level. many concepts were not understood especially in the last course. Assignments were many confusing.

The professor of other two a way better. This one skips some steps in some explanation that makes the tasks hard to do

worse than previous courses of machine learning specialization. Really confused me when introduced the inner products.

The course needs to introduce more advanced technique and practical examples or create a new Advanced course on this

Honestly this course is the one worthing attempting. However, last week's content is really messy and challenging.

The difficult parts of the course where very superficially discussed in the videos and where lucking examples.

many steps are not clear enough that I have to spend a lot of additional time to figure out the details.

I rarely use Discussion Forums. But for this course, I learnt all from the Discussion Forums. :(

This programming assignments of this course have many bugs that you need to manually submit it.

I think this course has many flaws. Some of the explanation from instructor isn't very clear.

This course is pretty hard. The most important pre-requisite for this course is persistence.