Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI

The course appraises the reader of the various tricks that are needed to design nice machine learning projects. One minor suggestion would be to have some programming assignments for this course as well!

Great material but a few glitches in the videos that need editing out. I'm sure the people responsible will put it right soon though; the course hasn't been out long. Part of an excellent specialisation.

Overall the course was good, but lacked some minor information needed for the quizzes. The quizzes also included some questions that felt like they were meant to trick us rather than test our knowledge.

I didn't find this course as useful as the previous two. I'd still recommend the course because some interesting concepts are covered. The materials seem more intuitive. The quizzes are good practices!

The course is very teaching in my uneducated opinion and will help m later in life, hopefully.

I wish the test question had been more coherent.

I enjoyed learning it, and the simulator is a great idea!

Course is great although only in one case we have pdf's with additional lecture notes. They are more useful than ppt slides therefore it would be desirable to have them in other parts of the course

The course is perfect. But it would have been better if some ways implementation was also introduced to us. But overall Andrew is really helpful to make us visualize and understand new strategies.

In this section, only strategies discussed and no programming practice. So I don't think I really understand those tricks. Maybe when I enroll in real projects, those magic will show their powers.

Very good lessons to teach the principle of how to set up a machine learning project. Lots of tricks are taught, but still hoping there could be some practical assignment to enhance the knowledge.

Videos could be shorter and better edited. Supporting materials could be better. Homework assignments were tedious and included rather confusing (and borderline tricky) questions and alternatives.

It is a useful Content to keep in mind. Not as practical as other contents in the Specialisation. But, as Andrew Ng pointed out, it is a topic many times overlooked and I'm glad it was discussed.

The course is the best available on the online education platforms so far. An excellent instructor and really engaging assignments. You get it all but it lacks availability or reading materials.

Lot of things to intake , Error analysis seemed more difficult to me compared to Bias/Variance Analysis. I think lot of practice is required to really remember and apply in real world problems.

There are some answers on the "flight simulator" that are ambiguously worded, and one that seems to flat-out contradict what Prof. Ng said in lecture. Search the discussion forums for "foggy".

Loved the course, and the simulation was great. Doing an actual transfer learning programming exercise in TensorFlow could be an awesome addition.

Best & thanks again for an awesome course!

Eric

Basic but super relevant and well structure! Things we may all know, but forget to think about... I highly recommand. The only reason why I did not give 5 stars is that it's sometime repetitive

Course was really interresting with lot of insights. I would have maybe put even more examples/cases and added more quizz to get more practical training if we apply the pilot training analogy.

It's a little bit difficult to understand some concepts, even thought with examples. So it would be nice if there are some programming in the course. That will help to understand the process.

Andrew Ng was great. Mu only complaint for this course is was it was a bit slow paced as per my liking and could have more hands on practice for that part. Otherwise, This course was Awesome

Great class. Homeworks don't encourage independent thought. It would be nice if the material would spell out the problems that need to be solved more clearly, before describing the solution.

That is a good course that teaches you many useful tricks in machine learning. However, some mistakes in quiz make me feel puzzled. In general, it is a good course that you should not miss.

Very good course with important topics. The Quiz 2 should be reviewed because has some inconsistencyies has mentioned in the forums. Some more pratical assignment would be also appreciated.

I was a little disappointed that this course didn't have any programming exercises. That being said, I really like how the quizzes make you think of a real world application. Great stuff!

Very good advice that is hard to find anywhere else. The quizes however have some ambiguous cases which are borderline wrong. At least they should be explained better after the completion

Interesting opinions on what strategy to take to drive ML projects forward. Here and there you must weigh in with some "numbers" that suit you/your team but it's informative, nonetheless.