This course is theoretical, but so much important to know about Structuring Machine Learning. After this course, one gets idea about the application of ML.

This course would be so helpful when I will meet my researching work and try to perform it better, thanks for Andres's insight for ML projects construction!

This course proved to be incredibly useful to learn about the caveats and thing to watch out for while building real-world, practical deep learning systems.

Excellent content delivered by Dr Ng.

It's the highlight of the specialization.

Found it very useful in my job as a data scientist when planning ML projects.

This is one of the good course and it is the good knowledge course I like so much and it is the good course I am also implementing this course to my carrier

This course provides some useful guidlines for implementing a machine learning system. The practice questions really helped me understand some key concepts.

Very well structured course with lots of practical wisdom regarding structuring projects and managing implementation with respect to real world applications

Great course that blends in useful tips and tricks of the trade into this otherwise implementation-focused specialization. Andrew Ng is as always brilliant.

Another amazing course from prof. andrew Ng. Great and valuable insights and practical advice and tips for successful implementations of real ML/AI projects

Never seen before material presented on how to improve performance of deep learning algorithms in a systematic manner as well as how to set up the projects.

Very Practical course. Every Data Scientist should take this course! I always enjoy Andrew Ng. Thanks Andrew Ng for sharing your valued experience with us.

A brilliant course by a brilliant instructor. I just the love the way Prof. Andrew explains concepts. On the way to other certifications. Thanks a zillion.

this course is really helpful. learning about errors, variance, bias and how to face different distributions of test set, training set in practical manner.

Very nice to have learn about important Machine Learning and Deep Learning Strategies and how can we systematically build and improve intelligent systems.

As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !

Good course to go through for understanding how to approach a machine learning project: manual error analysis, training-dev set creation, bayes error, etc.

A good course to help you how to strategically plan Machine Learning projects and gain insights that only working in the industry can. Thank you Andrew Ng!

A helpful course. It would be nice to review some parts of ML projects even in more details as there are so much places where an ML engineer can be unsure.

By bringing in several real life ML examples/applications, the course helps reveal subtleties, and furthers a deeper understanding of concepts in practice.

This course is well structured and to the point. Course helps to understand practical aspects on how a ML product can be achieved using structured approach

This course really teaches me the skills in developing machine learning models for real world problems. I would highly recommend this to ML practitioners.

World-class tips and tricks for structuring Machine Learning projects that you probably won't find elsewhere. Also, the quiz structure is very convenient.

This helped me to get more insight into how to resolve the errors, what approaches are better, and how transfer learning and multitasking can be utilized.

I want to thank Coursera and Andrew Ng for providing this opportunity to learn from a different part of the globe. He is the best teacher I have ever had.

Material very well designed for people with a full time job and kids! Thank you Andrew Ng and team for making these technics so easy to learn on coursera!