Well its a very straight forward course. Very easy, not very technical but a general overview of What to be done in a Machine learning project.

Really great course, in difference with the first 2 courses this has got a lot of concepts, but those are clear and kind of easy to understand.

I rarely rate online courses. However, this was completely worth it! Excellent course with a lot of "know-how" knowledge. I fully recommend it.

Among other courses of this series, this course brings up some of the most important things every (deep learning) scientist should be aware of.

Andrew Ng is such a great teacher, it is a pleasure to learn machine learning and deep learning from his well thought-out lectures and examples

Awesome . Thank you Andrew N G for these very valuable beautiful concept boosting insights .Very Very good . Really awesome insights and quizes

Great Course, learnt many new aspects that are found nowhere on Internet or Books.Thanks Stanford, Thanks Prof Andrew and Assistant Professors!

I enjoyed the course, the information provided were very beneficial and its not something you can easily read about in other courses or online!

Excellent training to get organized in a Deep Learning project, explaining on real use cases how to select the multiple approaches and tactics.

a very important course providing real life experience with problems we face in our projects. it's a much needed skill that everyone must have.

This is the kind of advice you wish you have had in your last ML / DL project. I really appreciate all the information given by the instructor.

This course expands my view on ML, for example how to analyze errors, and how to make a decision that leads an AI project to a right direction.

Really helpful course for getting a better idea of how to approach a deep learning project and what steps to take during the development phase

Great course, loved the content! The instructor provided great advice on how to tackle problems one might encounter while training neural nets

Plenty of pratical experienece and guidelines that can be used in the practice of DL network defintion and planning of workflow related to DL.

Nice explanation of how to work on deep learning project. Course explains practical aspects, which otherwise I would never understand. Thanks,

Really well structured concise course. Knowing what to do when in a machine learning project is really important and this course teaches that.

Wish I'd done this coarse 2 years ago when we started working on our own ML problems. It's extremely insightful. Will certainly revisit again.

Very good intuitive insights into designing the best suited DL solution as well as making the most out of data and improve system performance.

It is very helpful to have a big picture of where the project goes, and how to make a good use of time to make a bigger impact on the project.

The material in this course is very important. It is not found in books or easily found on the Internet. Very valuable and highly recommended.

Really great course for getting to know thee errors in deep learning and how to deal with them. Good explaination of Train , dev , test sets.

A well organized and structured course for anyone who wants to optimize the performance of their model and do the error analysis efficiently.

Очень интересный курс. Много узнал о стратегиях развития проектов с использованием нейронной сети. Спасибо отличному преподавателю Andrew Ng.

great content and fantastic way to practically learn various aspects of a real-time ML project. Appreciate the great instructor & lectures!!!