Rather less coding in this course. However, if you are about to embark in ML project, the advice you will get here is valuable.

More examples other than speech recognition and self driving car would have been useful. Multitask learning was not very clear.

This course is mainly about the concepts. But it makes me know why and when I can use pre-trained models and transfer learning.

This course is absolutely for who is coming out to structure the projects and research the tuning the Machine learning models.

Learnt a lot about machine learning. One of the finest collection of all the information related to machine learning concepts.

The content is great, but the there are some HW questions that should be reviewed and the wording of which should be improved.

I brief look at the project management aspects of deep learning. More flight simulators (case studies) would be very helpful.

Simple and yet a great course! Exposes us to a very well explained and justified set of guidelines on how to improve learning.

The videos are fast forwarded which causes problem while understanding difficult portions of the course please slow it down .

A bit light and repetitive. Could be cut down to 1 week. Would be nice to see some template code for good ML pipeline setups.

Terrific material as always. This stuff also felt very real-world actionable. But no coding learning, which I was hoping for.

It would take many projects and careful reflection to learn the concepts in this course. It was definitely worth the effort.

This course offers a basic way of thinking to approach Machine Learning Projects. Need more intuition for advanced projects

Still great, but not quite as substantive as the first 2 courses. Enjoyed the flight simulators though, do more of that :-)

I really enjoyed the course, but I think some of the responses from the mentors in the discussion forum leave some doubts.

It is a very interesting course. I just regret that no documentation can be download to use it as reference in the future.

The missing of practical exercises I think is a real disadvantage. Is always better to learn by practice than by theory.

Would be nicer if there are coding assignment that can guide us through some of the applications mentioned in the lecture

Good and useful content. The staff should read the forum's errata section and make a bunch of fixes to the course though.

Excellent course material would have been icing on the top if there were some course exercises like previous two courses.

I think some videos materials related to deep learning practice(programming assignment seems costly) will be more helpful

an interesting short course on some of the things to be careful of when carrying out/planning a machine learning project

Pretty quick and easy course, but there does seem to be some good content in there. Almost no technical content, though.

No coding exercises; only quizzes which lean slightly on trivia rather than core ideas. Nonetheless, a very good course!

Maybe a week with an actual applied transfer learning assignment would be useful? (In addition to the existing material)