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Production Machine Learning Systems に戻る

Google Cloud による Production Machine Learning Systems の受講者のレビューおよびフィードバック

4.6
420件の評価
42件のレビュー

コースについて

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...

人気のレビュー

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

フィルター:

Production Machine Learning Systems: 1 - 25 / 43 レビュー

by 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

by bhadresh s

Jan 23, 2019

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

by Mark D

Jan 15, 2019

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

by 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

by 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.

by 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.

by Suresh R

Jul 13, 2019

good overall

by KimNamho

Jul 10, 2019

thank you

by Kate K

Jul 06, 2019

Really useful course

by 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

by YoungkyunKim

Jul 03, 2019

thank you!

by choisungwook

Jul 02, 2019

good

by Lee M

Jul 02, 2019

good

by 장해수

Jul 02, 2019

ExCellEnT!!!

by 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

by 최철웅

Jul 02, 2019

Very Good!

by Junhwan Y

Jun 30, 2019

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

by 김유상

Jun 30, 2019

Some errors in Kubeflow quicklabs.

by 길경완

Jun 30, 2019

well

by 최일훈

Jun 29, 2019

아주 좋아요

by 김민지

Jun 29, 2019

Perfect for my study ML

by Jincheol W

Jun 27, 2019

Good Job!!!!

by 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.

by 이전규

Jun 23, 2019

good

by SOYOUNG J

Jun 23, 2019

Great Course