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Production Machine Learning Systems, Google Cloud

4.5
173 notes
19 avis

À propos de ce cours

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** 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 SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Advanced Machine Learning with TensorFlow on GCP’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!...

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 JW

Nov 04, 2018

This course reveals some practical techniques in Production Machine Learning Systems. I like the real world examples introduced in this course.

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19 avis

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...

par Raja Ranjith Garikapati

Dec 08, 2018

Very informative on production systems....

par Artur Kuprijanov

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