I have learned so much of concept in the structuring of machine learning projects and very awesome two case studies, clear cut of concepts of end to end deep learning approach.

A good course providing you a platform to actually experience what it is like to design an ML/DL project and iterate through lots of training. I found the quizzes very helpful.

Truly a great course by the instructor and his team. These real-life problems are certainly not taught anywhere. Kudos to instructor and team for delivering such a good course.

Very nice subject about how to structure and focus on the project and the objective and don't let the misleading data to diverge from that. I really enjoyed every detail of it.

More general topics. Easier than the previous two courses. Without practical experience in the field, it's difficult to claim right now how much I'll benefit from it in future.

This course gave me a chance to learn how a ML process is carried out from the beginning ,and focusing on the intution rather than the maths is also necessary for ML engineer.

नमस्ते अण्ड्रु जी, आपका बहुत बहुत धन्यवाद। आप एक महान व्यक्ति है हमारे लिए। आपके द्वारा कृत ये पाठ्यक्रम से मैंने बहुत दुर्लभ जानकारी और विचार सीखें। जीवनभर आपका आभारी रहुंगा।

An essential part is covered in this specialization,i.e Error Analysis and Model's different kinds of learning techniques with very practical case studies are so much helpful.

This course is a most for everyone who want to work in this field. Great content! Helps you to take the shortest (and correct) way... Thanks a lot Mr Ng for this great course!

Good coverage of the mindset required to start and to critically evaluate other projects. Both assignments were extremely useful since they actually portrayed real situations.

Excellent course on practical considerations of working on a real machine learning project. I believe that this material could save a lot of wasted efforts on future projects.

Priceless material in a world full of tensorflow/scikit learn which done all the hard programming job for you ! A focus on the feeling/expertise of a machine learning project.

This is an excellent course, there are many ideas and technologies introduced that help get a better understanding of the practical engineering practices of machine learning.

I like the course very much because it shows lots of real issues when work in practice, and tells clearly how to solve these issues. Also the flight simulator is very useful.

Fantastic course! This will save me so much time when implementing my own deep learning models, as I can now easily identify what to work on to improve my models performance.

Excellent. This course simply blows my mind with how much precise information on deep learning subtleties, deep understanding, and practical clues it can cover. Thanks a lot.

I loved the real world problems in the quiz, that ML scientists will face in the future. I feel this course is made to genuinely learn rather than give people certificates :)

This is really a great course . Now i have insights of real world data science projects and knowledge of prior steps to take to improve my model in most efficient way

Thankyou

Amazing Insights! Loved every second of the course. Actually, these are the issues I have actually faced in my small professional career and this course really did help a lot

This course gives me an insight into the machine learning techniques. Especially, many videos of this course deal with how to handle the dataset for improving ML performance.

This course gives a bird's eye view of a ML project ABSOLUTELY needed in a Production environment or consultancy. Maybe this one could be the first or second course overall..

Most important learning is on how to make acceptance matrix and validation matrix and setting goal for team. And most importantly error analysis and strategy for improvement.

Very learning-ful and insightful. Andrew - as always - is a great instructor, explaining all the topics in a clear, understandable, concise and ready-to-use/pragmatic manner!

This course was pleasure to complete. I enjoyed it the most of all the three so far! And some of the stuff taught in this course felt so useful even outside machine learning.

Great overview on how to review the output of your project, understand the results, and how to iterate (what to go after) to make your algorithm. Andrew Ng nailed it again!