Andrew Ng has a very calm and competent way of teaching contents. The course provides a good overview over its topics and is not particularly hard to master. Actually for me as trained computer scientist with many years in the field, I would have preferred even a little more mathematical details, but this is more personal preference than a criticism towards the course.

I think that this course goes very in-depth into how machine learning works. On top of that, he talks about the code and real world applications so transitioning this over to work or school is very easy. The practice labs have simulations and graphs to show exactly what your code is doing. Overall, just a very informative and relevant course.

A few things were left out, which albiet would have made the course slightly more complex, could have been added as optional / honors content for those wanting to atleast understand fully what was going on. Especially in week 3.

Very well on introduction the basic concept of the topics, but some of the function are not visible enough for us to understand (such as the update boolean in the assessment of reinforcement learning)

Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.

The content was details, explained thoroughly and understandable. But, when it came to implementation, few more labs similar to the structure of previous course could have improved it more.

The part on RL is obviously more difficult but gives a good understanding of the foundations and principles.

Overall an other great course taught by Andrew NG!

Lack of hands-on experience in coding (i.e. the implementation of the algorithm). Need more detail explanation and careful guidance throughout the notebook.

very good course but it needs lab practice , it looks like we just run the code , aand if we want to write by our self it is hard . but thank you so much

Very instructive and interesting. There were some videos were the slides were very cluttered with calculations (e.g., the derivative optional video).

The lab assignments are feel happy in nature. They should force the learner to write more than just the code for hidden layer selection. Thanks!

the content and theory are very good in the course, Andrew is an amazing instructor I just wish there were more coding exercises.

the course gave me a broad and deep view of what's available in this discipline, what is upcoming in this discipline as well.

All the contents were excellent except reinforcement learning. The videos seems very less and not very understandable.

thanks for the course, I just feel in some subjects we could deep more to the mathematical aspects of subject.

Great course on understanding key machine learning techniques without getting too deep into the mathematics.

It felt a little rushed compared to the previous 2 courses. Still really good, but it doesn't go as deep.

The labs are not very challenging, maybe some more coding would help to understand more material.

Nice content, the speed of speaking was a bit slow. Fortunately I could watch at 2x the speed.

It's a good course for complete beginners, but a bit lacking in practical exercises

The course needs more application excersices and no just the theory of the concepts

great course but practice labs weren't challenging nor tested material well

few topics were little complicated , specially reinforcement algorithm

great course and content

The reinforcement learning part can be better.

It would have been better if the assignment were a bit more tough.