'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 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.

This particular course details all the minute aspects needed to have a better model. All the concepts were explained clearly in the course. I felt this course to be a like a "icing on the cake" to basic Neural Network course.

Once more Andrew is greaqt teachng and very clear in his explanations. This course let me learn how to improve the development of a Deep learning project aiming at the right parameters and algorithms to be worked on the road.

Very useful ! It is a common problem of getting lost in ML projects, although the guidance seems abstract at first glance, it proves to be invaluable when ever we are in the midst of struggling for better modeling performance

Much needed course for those who are in their starting/middle stages of DL/ML projects. This course gonna play a vital role in their projects. The explanation from Andrew Ng was interesting with real-time scenarios examples.

Thank You, Professor Ng, for creating so much valuable learning. The values to those are added and we get ambitious and inspired being through the interviews you took with great Deep Learning and Machine Learning scientists!

I came into this course with the bias that it would be the least applicable of the five in the series-- however, I really feel that the information conveyed was extremely important for practical application of deep learning.

Really helpful project strategy for Deep Learning that can save many months of work. While this course is a bit repetitive at times, Andrew Ng's recommendations are hugely important and his simulation tests quite innovative.

Pretty interesting ideas on how you can improve your deep learning system. It teaches you a number of strategies that help you identify the most promising things to try. Quizzes are especially interesting in this course.

In depth learning of most sought and required concepts and giving insight on how to structure a ML project from scratch practically. The quizzes are just wow! They give a very good insight of how ML projects are structured!

Short course with no programming exercises, but full of good information that is immediately useful such as where your time will be best spent depending on situations you're likely to encounter in pretty much every project.

Excellent, this really goes into the nuance of successfully executing a project. Setting up an initial system is not that difficult. Understanding the sources of error a systematically resolving requires judgment and graft.

This course is great. Recommend it to anyone working on Deep Learning projects. Saved me lots of time, and taught me how to systematically think about my problem and opened new windows to improve my network. Thanks, Andrew!

This was a valuable stepping stone in applying Andrew Ng's other teachings to realistic scenarios. The "simulators" were actually a great representation of realistic machine learning project issues & potential resolutions.

A clear explanation of a difficult subject with an emphasis on being able to create and to understand your own neural networks.- Plus in this module how to allocate your resources so you can achieve a successful project.