The curse is quite simple, there are a few interesting insights so it's not all bad. I feel I've learnt some interesting ideas. However, I feel it's quite incomplete. There are several problems that happen "in the wild" that are not covered. There is more that image classification and speech recognition to machine learning, therefore the experience of Andrew makes the course content biased to problems that are interesting but very specific. I was expecting something better given the quality of the first ML course.

Seemed to be information that could have been included in another course rather than its own 2 week course.

lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses

The course was just a bunch of tips and suggestions. Yes, they are useful, but given the empirical nature of machine learning I would expect those tips to be accompanied by practical applications and homework.

Expect more hand-on code practice or more quiz

Could have more case studies and above all. Also programing assignments on self driving car could have been better

More theoretical than the other courses in the specialisation but still very high quality.

Short but with a lot of information.

Some material is trivial. Some quiz questions are ambiguous, or have nonsensical answers.

Very short, not many practical examples. Lots of repetitions.

To much talk but understandable. Need something like programming examples with different data distributions.

This course did not contain programming assignments, only quizzes, and was thus considerably less useful, even though the knowledge was important.

THe course was challenging and had valuable inputs. But it would be even more wonderful if we got to work on some portion of the case studies as a capstone project at the very least. Else Its a 5 star course.

Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.

This course was shorter and didn't have any programming assignments. Could've been part of course 2.

Not much coding. Some lectures were rushed.

Course materials need some cleanup. Were a number of audio blips, in the video. Material was good but just didn't seem as polished.

The course work is really good. It has a practical emphasis. However, I did not like the quizzes (especially week 2 quiz) in the sense that the options are not very clear to understand and you end up being more confused. I hope the team works on the clarity of options for people who take it in future.

Still good but getting much sloppier. Bad editing of the videos, some exercises plain wrong and staff not reacting to forum posts, etc.

Great content. Some strange audio that I think should've been cut (especially in week 2). I suspect the week 2 quiz is a little buggy as well.

It would be better if you include programming exercises.

Lectures can be summed up by: "use common sense".

Quiz can be summed up by "to pass, use OUR common sense".

A good course though some programming exercises would have made this better.

Quite a few errors and ambiguities in the practice problems.

A bit short

The course was misleading on what homework there was (machine learning flight simulation?) There was no homework. and the lectures were pretty bland compared to other courses in this specialty.