It was very good. The instructor shared experience of building industry level machine learning systems which was interesting useful

I wish there was a programming assignment to practice what we learnt during the lectures.

Thank you very much for this great course.

Very interesting ways to think about any ML project. We are now able to interpret the results and have a real analysis methodology.

The 'simulator practice' is very useful. It is actually very very close to what I do at work as a junior machine learning engineer.

Andrew Sir teaching style is awesome. He makes very hard concepts very easy and very explicit about ever detail. Thanks Andrew Sir.

Another excellent course in this specialisation. Lots of focussed, practical advice and techniques to apply to real world projects.

It is a good review course to better understand the data rather than blindly depending on deep learning models. Certainly helpful!!

Great advice and insights into dealing with real world machine learning problems! And the small interviews were also heartwarming.

U will certainly learn things that you won't find anywhere else ! Andrew NG is a great teacher ! happy to follow all his courses !

This is a great course. Give you some aspects of machine learning. Also, it helps you address some problems in practical projects.

This is really helpful strategy and decision making when facing problem on Deep Learning project. what the awesome quiz exercises

Gives a practical view of machine learning projects in terms of deciding the most promising areas to pursue to improve your model.

I thank dear Andrew for preparing a course that teaches us the things that take an ML practitioner years to master on his/her own.

To dive into the practical and business aspects of deep learning is a need! Andrew Ng shares a lot of his experience in the field.

Concept of Transfer learning, error analysis very clearly explained. Yearning to build my first model on a completely new problem.

This course has practical information that I dont think you can readily find in text books. Super useful for real world problems.

Improving performance of your neural networks in a structured way - something which is not easy to find as a resource on internet.

Very nice course that explains well how to structure and plan your machine learning projects. I especially liked the case studies!

Amazing course with many practical insights! One thing that could be further improved is increase hands-on practice for this part

Very good explanations, we could learn many different things, so thank you for teaching. Keep learning & charming. Thank you 😊☺.

This course saved thousands of hours to be spent on collecting so many valuable hints taken from different fields. Thanks Andrew!

As always, these courses are awesome. I love the "flight simulator approach" for the 2 tests (real questions on real uses cases).

This is a sort of introduction to high-level strategical view of machine learning practicing. Very practical and easy-to-follow.

I really enjoyed this course! It gives me industrial perception on deep learning projects which I am looking into for many yeats.

Although this was a more theory based course, I really understood the ways one can work on data issues and lack of data problems.