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Production Machine Learning Systems, Google Cloud

4.5
(207 notes)

À propos de ce cours

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...

Meilleurs avis

par AK

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

par AF

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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21 avis

par JJ

May 16, 2019

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.

par Armando Flores

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

par Gregory R. Gray Jr.

Apr 13, 2019

Thumbs Up@

par Mirko J. Rodriguez

Apr 02, 2019

Very theoretical.

par Cameron S Banowsky

Mar 20, 2019

much meatier of a course.

par Facundo Ferrero

Mar 14, 2019

Rich course, although a little tedious, the info is priceless almost all the time. good for consultation

par Alexander Kulikov

Feb 10, 2019

excellent

par bhadresh savani

Jan 23, 2019

It was bit hard course but lab work was great and learn many production level consideration for ml systems.

par Mark Davey

Jan 15, 2019

Very practical which was nice. Thank you for adding the Quicklabs that helped a lot.

par Lloyd Palum

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...