this course very important other than previous courses because we need to understand the data and split the data set across the train, dev and test and making strategies for training the dataset using model. Thanks for this course.

Great course with some awesome insights into structuring the analysis of machine learning models. Definitely picked up a ton of strategies, tips, and tricks that I will be using as a I move forward with my machine learning career!

The mindful advice does not only deepen your understanding in deep learning, but also stimulate creative thinking in my own PhD research in a total different field. It is also enjoyable to watch the interviews, which I favor a lot.

very helpful!

Andrew teaches a lot of knowledge that can't find in books.

This kind of knowledge is very helpful for student when he gets his hands on real-world ML project.

Error Analysis & Bias& Variance are all useful techniques!

Very helpful! The experiences of building deep learning systems might be very difficult to obtain through other classes. When learning from practice, however, the costs are too high. Thus this is a really marvelous course to take.

very good course and I believe this course will save lots of learning and experience years by directly guiding you on how to structure ML projects and show you different ways to solve different kinds of problems that will face you

Dear Prof Andrew Ng, grateful to you and your team for yet another excellent course in Deep Learning specialization. ML Strategy teaches us important practical aspects which are absolutely essential for the success of ML projects.

This course give a substancial idea of how to deal with Machine Learning project.

It is only a two week course with 3-4 hours per weekd but is at the same price as the others.

Though it is still an excellent course that I recommend.

The basic concepts of structuring machine learning projects help improve our skills. This course really helped me build my project correctly. Extensive information is given in simple language. I recommend this course to everyone.

Again a very good course by Andrew Ng. Concise, structured, easy to follow. The quizzes are a highlight, as the questions mimic a real project's journey and ask about exemplary situations (instead of just definitions and jargon).

This course gives insight on how to use deep learning algorithms to use in real world. Quizzes contain really good case studies which are very good. Definitely recommend this course even to one who knows deep learning algorithms.

Excellent course that covers some of the most critical aspects related to machine learning projects. The approach used in the quizzes is very effective. It introduces learners to some common problems under a variety of scenarios.

This was really interesting but at the same time quite tricky to take any decision after we get the poor results. I think it would be even better if we had also programing exercise where we could for example do transfer learning.

'Structuring Machine learning Projects' is a strategic approach to modeling machine learning algorithm. And this is the course that really teaches how we can apply ML algorithms we learnt to the real world problems "Efficiently".

Loved the Course, it really Helps a lot for the Projects, You save us lots of time.

I have a question which activation function did I have to use on the final Layer on a Multi-Task problem, Im working in a project with multi-task.

The simulator exercises are particularly interesting, as the introduce learners to making decisions when dealing with machine learning projects. This was the highlight for me, and I believe, it has help me build some intuitions.

Everyone, literally everyone who wants to start doing machine learning projects at the industry level should first go through this course. I think this course will make the life of an fresh machine learning engineer much easier.

I have studied Deep learning in detail from free courses but tried this course by Andrew and loved it because it was great for people who are being introduced to deep learning projects.I will recommend this course for beginners.

This course is excellent to get a start of deeplearning.

I really emphasize this.

Dr. Ng is an awesome professor who can simplify abstract and complex concepts to a really linear knowledge flow i.e. removed activation layer hahha

This course is really a deep insight of practical application. Completing this course gave some important points ,but they can be truly learned only when we try real world application by our own. Once again thank you Andrew sir

Again, the videos were very informative and pleasant to watch, using well established didactic methods. Information given were (as far as I am aware) up to date and pretty good to understand. Thanks for the excellent lectures.

This course is really short but very packed. Prof. Andrew shared alot of his practical experience in this course. Given the value of Prof. Andrew's years of experience, this course will still be "cheap" even if it costs $ 1000!

This course teach you strategy which will help you in solving real time problems and reference have been taken from real problems. it gives you a prospective to weights different option and create your strategies. Good work !!

This course containes precious insights regarding right strategies and tactics to use in order to build a sucessful machine learning system. Thank you for the great effort put in preparing this remarkable source of knowledge!

This course has really taught how to start solving a real-world machine learning problem, what to do incase of facing different kind of issues. Hopefully, I will be able to apply them in designing machine learning algorithms.