Still a great course, but compared to the pervious two, this seems to be a bit less useful and practical and there are a few mistakes with cutting, etc.

the worst thing about the course (which ain't even that bad) is that some things got a little repetitive but overall a really good opportunity to learn

It is a very helpful and good course to guide towards structuring a machine learning model. The better part of this course is case-study based quizzes.

It may be useful in the future, but since I don't have any large project experience in the real world, I feel a little boring while taking this course.

Some content was a bit superficial. Many concepts regarding approach to machine learning projects were useful. Found the "flight simulators" were not s

Quite a lot useful information for structuring deep learning projects, but also quite some errors in the course contents. Hope them will be fixed soon.

Overall a nice approach to understand how to tune the learning algorithms. There are some production/editing issues in the videos that are distracting.

Lot of info. A bit more practical programming approach to these issues would've been helpful but great way to put convey that information nonetheless!

excellent practical and insightful strategies from years of andrew's experience, i wish there were more hands on labs to practice some of the concepts

This course is a must-do, this course gives you the necessary confidence to go ahead and actually start building your own application and work on it!

The content is well worth going through. While the "flight simulator" approach was certainly beneficial, I wish there had been programming exercises.

The course is good, as I would expect of Andrew, however, I feel like the standards of editing the videos has fallen quite a bit since the ML course.

this course was a little boring, but it covers all the necessary concepts about the error analysis and strategies to be followed in machine learning

The course walks you through different effective ML strategies. I'm holding the 5 stars just because I expected to see some hands on assingments.

Overall a great course. Some of the quiz questions are very hard because the corre3ctness of some of the available options is quite a bit “fuzzy”.

The course has given me insight about the handling of ML projects. But it would be great if there was some CODING and specific algorithm involved.

Good course! Focusing on strategies on how to start well and manage a DL project.

But very vague! Hoped to have more thery & a usecase on the topic

I had some problems answering some questions correctly since there was no specific emphasis in the lectures and I was somehow unsure how to reply.

It has nice discussions on the practical aspects of Deep Learning projects, but I wish it had more Math, and it had more programming assignments.

Thorough and well taught course on strategy in ML. Would have enjoyed some programming exercises, but the assignments served their purpose well.

This course was relatively short, and the quality of the materials (lecture videos, quiz text) was somewhat poorer than in the previous courses.

Good practical advice. I would have added something about agile development and possibly practical advice on NN architectures (depth and size).

Excellent content but the quizzes are badly done, many questions have several reasonable answers and very little feedback if we 'get it wrong'

The course would have been more interesting if we had some programming assignments. Hands on experience into some of these cases really help.

Unique course in the sense that teaches important topics that are rarely seen in the literature and are fundamental in designing AI projects.