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As always, great work by Andrew and team. Got to know many new concepts like Multi-task learning and end-to-end learning.

Andrew was on the top level as usual. Just for somebody interested in more of such advice: look at his "ML Yearning" book

By attending these lectures years of learning which only could have possible with experience can be learned in few hours

As a new grad job seeker, this class is important for my career thought it's high unlikely be asked in the job interview.

In this course, you will get the knowledge that no one teaches you, that is how to make models in the most efficient way.

It is a bit theoretical, but it is very helpful for those guys who are planning to start their setup of Machine Learning.

Very well structured course, understands better and improving my skills much more further in this course. Learning a lot.

It's a another great course from the deeplearning.ai. This course is really helpful in managing my deep learning project.

Awesome insights to starting and structuring a deep learning problem. Must see for even experienced people in this field.

got very fruitful knowledge about how to structure ML projects but still 'how to structure experiments' part is missing.

Really helpful Course in being able to decide parameters around my on-going College Project on Food Calorie Estimation..

Very good case studies in-line with concepts taught in the course. Very good Extract of real life project experience .

Prof. Andrew Ng is so awesome, so much useful to strengthen foundations and first principles along with solid intutions.

This is a great way to learn to make choices for solving machine learning problems. Should have more quizzes like these.

Its a good course to build the basic knowledge what you should have before starting the implementation of deep learning.

Very explanation of training sets, dev sets, test set. How to create strategy for creating a Machine Learning algorithm.

Great course! I learned a lot of best practice on how to structure a ML project, from metric defining to error analysis.

This was a short course, but it was packed with first-hand knowledge of the industry. I enjoyed the quizzes/simulations!

The speed of a couple of video's (e.g. End-to-end deep learning) seems to be accelerated, which appears a bit unnatural.

Very good complement to the first two courses on deep learning, a lot of useful tipps on machine learning understanding.

Highly recommended. Gives deeper insights into how a real-time project would be like and how to deal with the situation.

It helped me a lot to understand the subtleties related to data structuring before even worrying about the architecture.

Muy bueno, pero podr铆an profundizar un poco m谩s en los comentarios que hacen en cada pregunta despu茅s de ser calificada.

One of my best experiences every with DeepLearning. The quiz questions helped a lot to understand real world challenges.

Professor Ng gave a very good explanation on how to approach ML projects step-by-step. The quizzes are also really good.