Interesting course especially for ML novices. A short course and could be completed quickly, however, one needs to carefully review the lectures to avoid missing key points. Well-structured course!

Although this course is the shortest one from the specialization this course have really valuable insight about how to propose a systematic way to solve a problem with Machine Learning techniques.

While there are lots of techniques out there, this course really helps you gain a different perspective on the bigger picture and teaches you to avoid some of the common pitfalls you may encounter

Fantastic! As is pointed out by Andrew Ng, the material is not taught in other courses. You will get answers for a lot of things you might have wondered when working on a machine learning project.

Shorter than other courses in this specialization, but realy important. It helps to structure machine learning projects to shorten the time and effort and to prioritize the different alternatives.

Very insightful thoughts from an expert and legend in Deep Learning and ML. Well explained and easy to digest the information. Keep up the excellent work Andrew and thank you for your hard work!

This course taught so much about strategy and intuition on how we structuring our machine learning projects in order to save time and gain expected best results and what to do in our ML projects.

Impressive course to guide us in planning machine learning projects. There isn't any calculation or programming exercises but we can gain the intuition that will take years to develop, I believe.

Wonderful course! Great learning content and I love the quiz at the end. The flight simulator model for the quiz is fantastic. The bonus interviews were very interesting and exciting. Thank you!

Fascinating insights how to solve issues in ML projects. Saves lot of time if you have to find out yourself. Great share of experience and very appealing and practical examples, easily explained.

This was very insightful.

No rocket science, but taking to heart these lessons may save you and your team months of work.

Pragmatic way of thinking about getting your deep learning project to work.

I think this is the best way of understanding the models we build and train. Now I can understand where are the errors are coming from and how to focus and choose an error rate problem to solve.

Great course with one caveat: some of the questions in the quizzes did not have clear-cut answers, where the correct answer could change based on subjective opinions rather than objective facts.

I made detail notes for courses in this specialization. The supplemental notes in this course helped so much for me to save time making notes. If I can give 6 stars, I will. Thank you very much.

This course is extremerly useful for being successful and efficient in a machine learning project. I'll highly recommend this course to take if you want to speed up your ML project and research.

This is a very unique course! Nowhere else is practical ML covered in so much detail. Many of the questions I struggled when doing ML are addressed in this course in a very clear manner. Thanks!

Please include more of programming. Until this course I have a decent idea of strategies for deep learning but still I am not sure if I can actually apply them that well to build a decent model.

Ce cours permet de donner un retour d'expérience sur des projets de Deep Learning réels, et nous confronte à la réalité des difficultés quotidiennes que les acteurs de ce domaine ont a résoudre.

It's great to learn the theory, and it's a great expansion to the earlier courses. It's slightly less fun not being able to do the coding course work. As ever phenomenal lectures from Andrew Ng.

Amazing course contents and case studies to get a solid understanding of key Deep learning concepts and applications in real world scenarios...very helpful for freshers in Deep Learning like me.

Ótimo curso para aprender os princípios básicos de estrategias com o intuito de solucionar problemas quando trabalhos diretamente no processo de engenharia de modelos de aprendizado de máquina.

Learning how to better deploy and analyze Machine Learning issues has helped me a lot in understanding the issues and finding solutions for my thesis project, in machine vision for agriculture.

I like the "flight simulator". Excellent scenario-based training. I also like one of Ruslan's advice - code the backprop of CNN from scratch to really understand deep learning. Keep it up :)

This is the most down-to-early and hand-to-hand course of the whole series so far. For real world projects tuning, this course may save you months of efforts and tons of cost. Highly recommend!

Taught a lot of tools for tweaking the NN in a comprehensive ways. This course makes me want to jump right in and practice all those tools available (even without programming exercise provided)