Sometimes the questions weren't clear. But in general, I really like the course and the things I've learnt I am sure they are useful.

I really enjoyed the content of this course. Having been inspired by reading The Book of Why, I was looking for some formal language around Bayesian Networks and this course really fit the bill. My biggest piece of feedback is on the programming assignments. These really should be in Python. Octave is an okay choice, and I suspect might have to do with Andrew Ng original choice to use it for his own machine learning course. However, the data science community writ large uses Python and R, which is why Andrew switched to Python for his deep learning courses. I would recommend the programming assignment be updated so that they are more accessible to the data science community.

I found well structured contend of these rare probabilistic methods (Actually this is the only reasonable course in this approach online)

I think this course is quite useful for my own research, thanks Cousera for providing such a great course.

A very nice-designed course

Very good explanation and excellent assignments

Absolutely love it!!!!

:)

The course contents are presented very clearly. Difficult ideas are conveyed in a precise and convincing way. Despite this, the global structure is not presented very clearly, and the quality of some course material is not excellent. In particular, I didn't find the optional programming assignments particularly interesting, and the code/questions contained more than one bug. Also, the quality of video/sound is quite poor, and varies a lot from course to course.

Would be better if there are people monitoring the discussion board and actually answer student's questions.

A great course! The provided training clarifies all key concepts