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!

The coding exercises aka lab assigment is extremely hard, learner should have experience on Python, Numoy, Skitlearn first hand before enrolling this course

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!

A bit harder than the other two course, would have been great to have more information on the same, possibly more in depth tutorials.

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.

This is an amazing course that covers fundamental unsupervised learning algorithms through real life problems and examples.

The course was good conceptually but it could be better if it some how includes the explaination of code parts more often

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.

Theory is good lacks a bit of practice they have regular labs but as self learner they are hard to grasp

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.

Reinforcement learning could me explained in more detail with more coding examples.

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

Course is great but it could be better by adding challenging assignments.

few topics were little complicated , specially reinforcement algorithm

great course and content

The reinforcement learning part can be better.