This is too obviously an advertisement for google services disguised as a course.

The omnipresent Google branding on software used is truly sufficient publicity in an educational setting, the branded t-shirts and multiple statements are superfluous for a Coursera class. Many statements, especially towards the first videos, create an impression that the technology isn't superior enough to sell itself as we learn it, but requires a sales pitch even though we already subscribed to the specialization on that particular Machine Learning software.

nice practical overview. I liked the first part with practical examples, the second part is too much marketing for Google APIs for me

It's a good introductory course.

Great introduction

great course!

It's a part of the specialisation, so taking this course is important for completing the specialisation. But the contents of course is also important for a beginner, who is just going start his/her career in ml. It teaches some useful key points on doing ml in real life.

Very useful basic course for machine learning on GCP

amazing

simple and easy to understand by an outsider such as me, who is not familiar with any computer language at all. Thanks.

very much helpful

good

Nice course for a glimpse on how Google does Machine Learning and Google's tools

Practical oriented, Great course.

It is very easy to understand.I enjoyed doing it.

really helpful

Very well presented and structured

a good learning

It takes a bit to get used to the format but so far its great. Please enable autoplay on the videos though :)

Had great insight on machine learning and how Google does machine learning. Eager to continue with the course.

There were many places where the downloaded libraries in the qwicklabs that didn't match with the code given in the course

Excellent introduction to ML

This may be the most important Machine Learning course I've ever taken. This course is not about theory or technical details, this course is about how to get ML working for you in your business. Google shows us the business processes that they have used and helped other companies use to be successful in getting real value out of ML. If you have tried ML in your business and not gotten any traction, you may have fallen into some of the pitfalls discussed in this course. I look forward enthusiastically to following the recommendations in this course and championing them throughout my company. In this course Google shares real-world solid practical business experience on how to go about the end-to-end process to make profitable use of ML. I give this course my highest rating, 5 STARS!

I think GIT usage for notebooks in Cloud Repositories should have been covered in the course as it is widely mentioned and never explained.

nothing worked