Kursteilnehmer-Bewertung und -Feedback für Production Machine Learning Systems von Google Cloud

I walk through the whole system for the entire process of ML so that I could get insights on the forest

ExCellEnT!!!

Very Good!

thank you!

Really useful course

good overall

Fantastic experience.

This course, I believe, will be crucial to my future understanding of end to end ML applications. I only hope gain more practice in assembling all the pieces from experimentation, to model design, to data engineering.

direct to the point practical guidance for dev stage prod sequence

Cool !!

Great Course..

This was a great opportunity to learn the Production Machin learning system.

Very Informative.

This Course has excellent explanations and advice on how to move your models into production and make sure they are reliables and don't lose accuracy over time. The course illustrates how to use the entire ecosystem on GCP that is impressive, quite happy with the explanation and the expert's advice.

well

good

Es un curso algo confuso que requiere bastante tiempo para comprender las tematicas

Great. Ksonnet is not active. Vdo should talk about it.

Very theoretical.

The module on hybrid systems was weak. The time it would take to cover the material would be prohibitive so why do the intro that then apologize for not having the time to explain the material. Leave it out...

Overall rating is 3 out of 5, as I expected more of the initial line in the first course. The optional Kubeflow lab has issues, as the ksonnet apply command line halts. Also, the last lab was expected to allow the student to code more, as this is the only way to make a person to gain more insights on the architecture.

While there is definitely some good and useful content in this course, not all of the material is useful. ~40% of the course felt like a sales pitch, at least to me.

Some errors in Kubeflow quicklabs.

This course include deep contexts about Machine Learning. But, It's somewhat boring.

thank you