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Learner Reviews & Feedback for Production Machine Learning Systems by Google Cloud

4.6
stars
1,028 ratings

About the Course

In this course, we dive into the components and best practices of building high-performing ML systems in production environments. We cover some of the most common considerations behind building these systems, e.g. static training, dynamic training, static inference, dynamic inference, distributed TensorFlow, and TPUs. This course is devoted to exploring the characteristics that make for a good ML system beyond its ability to make good predictions....

Top reviews

PL

Jan 28, 2021

Course is a bit outdated. E.g., KubeFlow section and references to ML Engine.

NN

May 8, 2020

I got lots of new skills and I think it's a great course for ML

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51 - 75 of 109 Reviews for Production Machine Learning Systems

By Bhaskarabtala A

•

Jun 18, 2020

learnt alot

By Gregory G J

•

Mar 21, 2021

Thumbs Up!

By YoungkyunKim

•

Jul 3, 2019

thank you!

By 최철웅

•

Jul 1, 2019

Very Good!

By Gregory R G J

•

Apr 13, 2019

Thumbs Up@

By Subhashish P

•

Jul 26, 2023

Excellent

By Clement M

•

Oct 1, 2020

excellent

By Hua S

•

Jun 23, 2020

very good

By Kamlesh C

•

Jun 17, 2020

thank you

By Kim J W

•

Jun 18, 2019

very good

By Alexander K

•

Feb 10, 2019

excellent

By kaushik g

•

Apr 22, 2020

Too good

By Prasenjit P

•

Sep 16, 2019

Cool !!

By Justin H

•

Dec 1, 2023

Brutal

By 최일훈

•

Jun 29, 2019

아주 좋아요

By Ankit

•

Apr 7, 2024

Nice

By 2303C 5

•

Jan 2, 2024

Good

By P V

•

Dec 3, 2023

GOOD

By Nikhil T

•

Nov 5, 2023

nice

By KEERTHANA T

•

Jun 18, 2021

good

By logu s

•

Jul 22, 2020

Good

By Lee M

•

Jul 2, 2019

good

By 이전규

•

Jun 23, 2019

good

By Atichat P

•

Oct 3, 2018

Good

By Prof. R M B

•

May 13, 2020

ok