Very Good course in developing and structuring projects in Machine Learning

Unique material that you cannot find anywhere if you're in leadership role.

Very nice insights on how to assess your ML algorithm using error analysis.

Good explanation for challenges about structuring machine learning project.

great information on where to focus depending of the project circumstances!

This is amazing course and gives great insights to Deep learning strategies

A lot of valuable experiences from real projects. Thanks for sharing these.

These cources are always awesome that I don't need to worry about contents!

Good Course only took 2 days to complete the tutorial and the assignments.

Best for my foundation of Structuring data and bias and variance trade-off

That is a fantastic course for about structuring machine learning project!

An amazing course for everyone who works in ML and wonders to do it better

The way you are teaching to the students is amazing and unforgettable.

As always, maximum vote. Super clear and interesting and useful! Thanks!!!

Very nice ，if there will be more programming exercises，it will be perfect.

Andrew Ng is a superhero of Deep Learning.

My dream is to meet him one day.

Great to think clearly about what the bottlenecks are and what to do next.

many useful strategies can adopt to solve problems. really amazing course!

case study and more real world problems mentioned in the lectures are good

Good and very useful summary of best practices in structuring ML projects!

Great course. Lots of knowledge acquired, on an easy step-by-step process!

I learnt how to proceed a machine learning project in this amazing course

It's very exciting to have such practical advice, it's awesome. Thank you.

Continues the high quality of courses in the Deep Learning specialization.

Excellent introduction to the process of creating and evaluating projects.