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Avis et commentaires pour l'étudiant pour Production Machine Learning Systems par Google Cloud

4.6
420 notes
42 avis

À propos du 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

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

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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1 - 25 sur 43 Examens pour Production Machine Learning Systems

par Armando F

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 bhadresh s

Jan 23, 2019

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

par Mark D

Jan 15, 2019

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

par Artur K

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 Cristobal S

Oct 29, 2018

While most of the content is sufficiently informative for a course, the implementation itself has too many issues: wrong videos in some modules, errors in quizzes, and so on. Once they organize the material properly, this course can definitely be 5 stars.

par Sinan G

Oct 27, 2018

A lot of great production examples, labs and reviews but perhaps too many issues for a single course - however I understand that it was perhaps to provide an overview of the possibilities, a kind of "toolbox" for production ML.

par Suresh R

Jul 13, 2019

good overall

par KimNamho

Jul 10, 2019

thank you

par Kate K

Jul 06, 2019

Really useful course

par Maxim

Jul 05, 2019

This specialization consists of 5 courses:

Course1: End-to-End Machine Learning with TensorFlow on GCP

Course2: Production Machine Learning Systems

Course3: Image Understanding with TensorFlow on GCP

Course4: Sequence Models for Time Series and Natural Language Processing

Course5: Recommendation Systems with TensorFlow on GCP

In specialization's FAQ say nothing about "audit" option. Are You know what is it ? "Audit" means that You can use course video material even after You subscriptions ended.

By fact, only "Course 1" has such ability. Before pay for specialization, carefully check FAQ for EACH separated course in specialization:

courses 2-5 has special items in FAQ:

"Why can’t I audit this course?

This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

"

"Who have paid" means that after You subscriptions ended, you lost access to video materials in this courses.

p.s.

1 star only for "Audit", content and lecturers are rated higher - at least 4 stars

par YoungkyunKim

Jul 03, 2019

thank you!

par choisungwook

Jul 02, 2019

good

par Lee M

Jul 02, 2019

good

par 장해수

Jul 02, 2019

ExCellEnT!!!

par Mina J

Jul 02, 2019

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

par 최철웅

Jul 02, 2019

Very Good!

par Junhwan Y

Jun 30, 2019

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

par 김유상

Jun 30, 2019

Some errors in Kubeflow quicklabs.

par 길경완

Jun 30, 2019

well

par 최일훈

Jun 29, 2019

아주 좋아요

par 김민지

Jun 29, 2019

Perfect for my study ML

par Jincheol W

Jun 27, 2019

Good Job!!!!

par Jakub B

Jun 26, 2019

Subscribing to this course only gives you option to run assignments on Qwik labs, and they're very poor for these kinds of assignments. You won't get any feedback on assignments anyway since there is no grader.

If you want to check out the material it's better to just clone training-data-analyst from github and do these assignments on GCP free tier.

par 이전규

Jun 23, 2019

good

par SOYOUNG J

Jun 23, 2019

Great Course