This course material serves as the checklist for projects, very useful material.

By far the best of this series. These kind of accumulated lessons are very rare.

very useful and practical and is a good makeup for what is learned in textbooks

Helped a lot to understand the project structuring as professional's perspective

Very informative, highly resourceful. I will probably visit back for suggestions

This is the easiest, untill now, from the first 3 courses of the specialization.

its really very important course for optimization in real life practice problems

I really liked the case studies as it helped understand the real world scenarios

Essential framework for those whom require a solid base to structure ML projects

Very good course to have more technical sense on how to use machine learning :)

It's really great course. gave me new way of thinking when starting DL Projects.

can't wait for the 5th course to come out so i can complete this awesome series!

great, but unfortunately not enough opportunities to practise the new knowledge.

High level course with a lot of insight into the machine learning project design

I likes it very much. Specially the flight simulator approache ist very usefull.

This is the most challenge and useful chapter in this who specialization course.

Very critical knowledge required to manage DL projects well, thanks a lot Andrew

New interesting views on practical issues in artificial neural networks projects

Excellent course as other courses in this specialisation. I learned quite alot.

Great course tp handle various situations while doing machine learning projects

I had a great learning experience and especially I like the case study section.

This is knowledge that you would not get at a regular class of ML at university

Every ML enthusiast should take this course. Thanks to Andrew Sir and Coursera.

Excellent Course. Gave me a good understanding of the structure of ML projects.

This course was really helpful on how to structure my machine learning projects