The answers to the questions in the Quiz are ambiguous and subjective.

Good, not dissimilar information from what was taught in the ML course

Will return to this lecture again in the future as reference material.

Has some useful information, but is lacking any programming exercises.

great-practical advices. nice simulation of the problems in the quizes

Talks about error analysis and strategies of how to proceed a project.

the quiz of the 2nd week has a wrong question， in my quiz，this 10th。

Great course. Loved the lectures, but the assignments were ambiguous.

Great course!

I only missed how to deal with unbalanced training sets.

Great information - A few more video errors than in previous courses.

Another informative course. A bit repetitive but overall very useful.

Would have loved a lot more content and a lot more practice examples.

It's so good but I think is for intermediate level rather than entry

Great course! Would be better if programming exercises were included

A bit too theoretical and not empirical but still really interesting

The value of this course is mostly in the quizzes. Very insightful.

Well structured material - trigger the desire to know more and more

kind of lacking in practical assignment. only quiz seems not enough

It would be great to get some explanations in regard to both tests.

Could be more examples or coding assignments for transfer learning.

Distills the key and practical aspects of machine learning projects

the knowledge is very relevant and the quiz is fun and challenging

Very useful intuitions, needs a little more of coding if possible.

This course is a bit short but there i a lot of experience bottled

Programming assignments for transfer learning would have been nice