It's great course for you learning about the process build model and problem that your model was created for its.

Too much story. It would be really great to see some codes and practical visual examples on real world issues.

Great course touching on some big topics in ML. I would like to add more labs and their video breakdown.

It's better the course has some coding assignments to comprehend the ideas which is shared by Prof. Ng.

The quizzes are meaningless, often ambiguous and the answers sometimes wrong. The videos are useful.

Some project plan / exercise / case study to be solved would have added more to the experience

Good course, yet I find the content a bit too generic and lacking practical advice on tooling.

inhaltlich und didaktisch eine sehr gute Einführung. Etwas mehr Praxisanteil wäre hilfreich.

This course is good for understanding the basic process required before developing ML model.

Worked well in shifting the view from modelling into data. Worthwhile for that reason along.

So far this course has been pretty great. Nifty Labs with a lot of useful info and methods.

Quite basic, but still useful introduction to following courses of the specialization

Useful course for understanding how ML works in production in an iterative approach.

Very comprenshive course summarizes the concept of Data-centric approach in MLOps

Amazing course, the only problem is the video quality of the last week.

This course was very useful on planning ml model deployment lifecycle!

Very interesting, a lot of new little concepts. I enjoy Andrew's tips.

Really clear explanation about foundamentals of ML in real world

Great course for establishing real Machine Learning projects

Very overview as well as provide more good documentation

It's a great introduction course. But excessively easy.

The content is great, but it could be condensed a lot!

Good intro course on machine learning for production

Learn some additional information Mlop

Would be great if comes with more labs