I feel like this course should be the last course in the sequence, not the third one.

This class gives an excellent overview of how to optimize a machine learning project.

Missing the notes in between the videos like in the Intro to Machine Learning course

It was a good structures machine learning course. It helps us to grab the knowledge.

Interesting lectures, not so difficult but need some knowledge about ANN in advance.

lot of information. Practical exercise would would helpful to solidify the concepts.

Very informative and helpful. But would have loved a bit more assignments/projects.

I liked this course. It has really good tips and the quiz is challenging enough :).

Very much theoretical, could be more helpful if we can piratically see the changes.

Nice and brief with valuable information about machine learning project management.

If you add more assignments not only quiz, that will be very helpful!

Thx to Andrew!

Lack of hands-on exercises. However, it is still very good to learn new knowledge.

Very slow, and probably longer than needed to be, plus only quizzes made it boring

Great course not requiring technical background. Great for QA/overseeing projects.

Was more verbose and subjective. Would have liked references to more case studies.

Great, but sometimes there were a problems with the videos (black screen and etc.)

Very good tips and tricks, but I would have preferred it to be even more advanced.

Briefly share Andrew's experience for directing what to do next in a ML project.

Extremely valuable practical information regarding how to structure ML projects.

This is a very interesting course but yes this is totally theoretical in nature.

Good high-level course on how to think about projects implementing Deep Learning

It was great learning experience since the implementation of ideas was missing.

Good Course to give insight into how to structure new machine learning project

A bit short and light to be a course on its own but still useful in the series.

Quiz answers were not that clear. They seem more "gotcha" than "deep learning".