Good advice on how to work on a machine learning project from the ground up. Tho most of the material is already covered in Ng's Machine Learning Yearning book.

Nice to see a course on machine learning about the 'other stuff' around machine learning. However, links didn't work half the time and it was a bit unpolished.

Some of the lectures feel quite lengthy and repeat stuff. It seems to be easily possible to condense into one week which could be added to the previous course.

a lot of topics are covered in machine learning course, but this has an upgrade to input from previous course due to changes has happened in AI in last years.

Valuable tips to apply in machine learning projects. I'd like to have some programming assignment that gives opportunity to practice some of those techniques.

Es muy bueno el curso lo recomiendo si se desea tener un conocimiento general sobre los aspectos a considerar en las etapas del desarrollo de proyectos de ML.

Advanced course, as always well done :D

Anyway, something for me strange is that there are only quitz but not exercices in Python/Tensor Flow... This is a pity

I loved the lessons, they are very practical. The only thing that I think could be improved are some of the quizz questions are worded in a bit ambiguous way.

It's an useful course to give me how to analyze error and give me some advice how to apply transfer learning and multitask learning. Thank for your course.

I felt that this course was too slow for my liking. While I agree this helps a lot, But I watched all the videos at 1.25x the speed so that I dont get bored

It doesn't have coding but it teaches thing that will really help in real projects when we will need to decide best approach based on multiple data points.

The courses of this two weeks make me confused because i have't built a machine learning systems fully by myself yet , so i found those classes boring.0.0

Not as helpful or practical as earlier lessons, but nonetheless important high-level advice. Perhaps there was a better way to test knowledge than a quiz?

Great course, like andrew said this course will make u more strategic toward machine learning projects and problem, and i would say mission accomplished!

It would have been nicer to get more hands on with this one rather than just watching videos and taking quizes, but otherwise the content was excellent!

i recommend to go to this course after finishing all the other courses in this specialization .

Another great one from Andrew.

Thank you very much Andrew!

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