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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.

袨褔械薪褜 懈薪褌械褉械褋薪褘泄 泻褍褉褋. 袦薪芯谐芯 褍蟹薪邪谢 芯 褋褌褉邪褌械谐懈褟褏 褉邪蟹胁懈褌懈褟 锌褉芯械泻褌芯胁 褋 懈褋锌芯谢褜蟹芯胁邪薪懈械屑 薪械泄褉芯薪薪芯泄 褋械褌懈. 小锌邪褋懈斜芯 芯褌谢懈褔薪芯屑褍 锌褉械锌芯写邪胁邪褌械谢褞 Andrew Ng.

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

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.