Extremely beneficial practical advice to get started on building machine learning projects. I can't be thankful enough to Dr. Andrew for taking time out to share his wisdom with the world.

it was a really helpful course to learn and it helped me to boost my knowledge in the era of machine learning and Deep learning. Thank you Mr Andrew Ng to provide such an excellent course.

Great discussion on the practicalities of organizing your DL projects and what to do if you start running into problems. I really liked the "case study" quizzes for learning. Good stuff!

This is a course on how teams should approach machine learning project in practise. It provides a lot of great intuition and also a feel for what working with machine learning can be like.

Though it did not have any coding assignment, I can not emphasize enough on how important this course is! Very insightful and the real world examples made them really interesting to solve.

En curso que recomiendo, lo que mayor destaco es lo simple que Andrew expone y su apertura para contar las mejores practicas a la hora en de llevar a delante un proyecto de deep learnign.

some of the questions were really hard and sounded counter intuitive to what was taught , eitherway the forums provided guidance and i gained trully important knowledge for my project UwU

definitely a great course!!! the assignments a way tougher which broadened my knowledge in deep learning. I would highly recommend this course who have completed the previous two courses.

This course demystified the dev/test sets and gave me the strategies on how to select and troubleshoot the dev & test sets, how to do error analysis and how to chose appropriate actions.

I really learn allot abot practical aspects of machine learning I recommend any one who want to learn the waht machine learning engineer face problems while training and evaluating model

Teaches important knowledge about structuring projects that other ML engineers may take months or years to learn, provides 'flight simulator' problem sets for testing this new knowledge.

This course gives good insights about how to approach a ML problem and what are the key elements to look at in order to have an initial analysis of the results. Definitively recommended

El sello de calidad de los cursos de Andrew Ng, un curso de tomar bastante rápido pero con mucho conocimiento transmitido a través de los años de experiencia de los expertos en el área.

It is very good because learning is one thing but apply learning in different application is totally different thing, so this help anybody to improve their performance in deep learning.

The quiz based on real-life application scenarios gave an insight to the problems faced in practical deep learning applications. This helps a learner to look at things from many angles.

This course is more about the higher level strategies to best apply deep learning in practice. Other courses focus more on the math of neural networks and implementing them as software.

This course provides practical ideas and insight for constructing machine learning or deep learning projects. Concrete examples are given to help explain the concepts or real scenarios.

Much needed advice missing elsewhere. It will surely help systematize the learning/modeling process which is time-consuming and based on trial and error. The material is golden. Thanks!

It's very unique course i have ever taken on machine learning. It teaches you the best practices in ML projects. These could be really helpful when you are stuck on your ML project. I

The material taught in this class is rarely taught in a usual classroom yet it is very useful in practice. I highly suggest people who are interested in doing AI learn from this course.

Great course! Andrew Ng brings everything together in this third course of the series. This will help me make good design decisions and I feel that I have learned from his experience.

This course has been much more challenging than expected, even when it doesn't talk much about algorithms or math, the content is actually complex and develops great analytical skills.

It's an absolutely essential course for all DL wanna-bees. Provides deep and practical insights into solving complex DL projects that otherwise will take years to experience to master.

Really interesting, and important topics, that are hard to find elsewhere. Has given me a great insight into issues seen in deep learning projects and many areas of things to think of.

Knowing what transfer learning is, multitask learning and what is end to end deep learning was really fascinating. I also learnt about errors to consider which helps saving time later.