Despite working on ML projects for two years now, found a lot of insights in this course.

Thank you all for making these incredible materials.

Very good class. There was a lot of practical knowledge in terms of fitting models and setting up a workflow that are hard to find elsewhere.

Some very sensible advice given in the lecture about how to properly evaluate the ML models though at times the lectures felt a bit too long.

The case studies were really challenging and helped me a lot to understand and realize how real decisions are being made with such projects.

Very Productive Skills were taught which helped me very much to reduce my time and effort on the model and come up with maximum productivity

Great course for strategic part in ML projects. The project-based simulator is a good way for exercising the ideas learned in the lectures!

I enjoyed this course the most thus far because it related practical experience in the real world, which I currently do as a data scientist.

I know that's really hard to put code section here. But that's necessary for giving example to explain how to put all the knowledge together

An excellent course. This course has some valuable insights on how to organize and systematically move forward in machine learning projects.

Excellent approach in how to solve difficult questions about, wich path to take, related to improve the deep learning models, just excelent!

Really valuable insights into how to make progress and *think* about machine learning projects, and taught in an engaging and practical way.

This course is quite unique in its content and is of great help to guide you in the plethora of options that Deep Learning algorithms offer.

I would prefer to be the student of Sir Andrew Ng.

I salute Sir Andrew for encouraging me to follow him till to complete the specialization.

This course is worth taking. it covers advance level though basic topics that helps you deal with machine learning projects in smarter way.

Unique material as claimed, provides an opportunity to practice different decision making skills that are common in a ML practioneers life.

valuable insight on how to build a machine learning model, most of the tricks are omitted in a college course but it is useful in practice.

Excellent course on learning how to plan for different stage of a Deep Learning project and common potential issues people would encounter.

Excellent course and I love the assignments makes you think. Learned more from getting them wrong than the ones I got right the first time.

Very good course. Will take it multiple times I guess.

Nowhere I could find this material and it would really help me in my day to day task.

Excellent course! A lot of practical information on how to make decisions while training your model based on years of Andrew's experience!

I loved this course as it considers things from a big picture view , on what the problems are and how to solve each of them systematically

This course is really good for team leaders as you can understand what to do in some real world problems. The simulation part was the best

It was fantabulous teaching from Andrew Ng, in a short period of time I could build up the knowledge on deep learning in an efficient way.

Curso bem ministrado, com um olhar profundo para o tema. Gostei muito, supriu a necessidade que eu tinha em entender a fundo redes neurais

Nice course in addition to the other course in the specialization. Could be longer and deeper but still it's nice to get another insights.