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

539 Bewertungen
55 Bewertungen

Über den Kurs

In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow...



Dec 07, 2018

It is very good course, gives good overview over large ML systems on cloud, a lot of examples from real implementations gives good understunding about problematics in projects realisations


May 07, 2019

I did not realize the many aspects to consider implementing a Production ML system. This course presents all of them and provides guidance for evaluating alternative

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26 - 50 von 55 Bewertungen für Production Machine Learning Systems

von 최철웅

Jul 02, 2019

Very Good!

von Lee M

Jul 02, 2019


von Kate K

Jul 06, 2019

Really useful course

von Skander H

May 25, 2019

Really informative and insightful.

von Venkata P I

May 30, 2019

very good information. Lot of unknown facts in ML are brought up in the course.

von Suresh R

Jul 13, 2019

good overall


Aug 06, 2019

Fantastic experience.

von Sakti D

Sep 15, 2019

Great Course..

von Prasenjit P

Sep 16, 2019

Cool !!

von Sachin T

Sep 20, 2019

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

von Daniel E

Sep 09, 2019

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.

von Mr. J

Sep 11, 2019

direct to the point practical guidance for dev stage prod sequence

von Muhammad W P A

Nov 28, 2019

very good for people who will enter the production stage on machine learning systems

von Mahendra S C

Dec 03, 2019

Awesome course for Production of machine learning mode.

von Carlos V

Nov 11, 2018

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.

von Hemant D K

Nov 25, 2018

Very Informative.

von 길경완

Jun 30, 2019


von choisungwook

Jul 02, 2019


von Steven P G

Aug 11, 2019

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

von Nikhileshkumar I

Sep 01, 2019

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

von Lloyd P

Jan 06, 2019

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...

von Mirko J R

Apr 02, 2019

Very theoretical.

von Harold L M M

Nov 08, 2018

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.

von 김유상

Jun 30, 2019

Some errors in Kubeflow quicklabs.

von Junhwan Y

Jun 30, 2019

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