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Google 클라우드의 Production Machine Learning Systems 학습자 리뷰 및 피드백

4.6
517개의 평가
53개의 리뷰

강좌 소개

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 COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

최상위 리뷰

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

필터링 기준:

Production Machine Learning Systems의 53개 리뷰 중 1~25

교육 기관: 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.

교육 기관: 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

교육 기관: 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

교육 기관: bhadresh s

Jan 23, 2019

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

교육 기관: Mark D

Jan 15, 2019

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

교육 기관: 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.

교육 기관: 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.

교육 기관: Raja R G

Dec 08, 2018

Very informative on production systems....

교육 기관: Michael F

Nov 11, 2018

wow gcp michael feldman

교육 기관: Alexander K

Feb 10, 2019

excellent

교육 기관: Facundo F

Mar 14, 2019

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

교육 기관: Cameron S B

Mar 20, 2019

much meatier of a course.

교육 기관: 林佳佑

Oct 20, 2018

very useful for consider data enigerring

교육 기관: Atichat P

Oct 04, 2018

Good

교육 기관: Jun W

Nov 04, 2018

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

교육 기관: Gregory R G J

Apr 13, 2019

Thumbs Up@

교육 기관: Skander H

May 25, 2019

Really informative and insightful.

교육 기관: Venkata P I

May 30, 2019

very good information. Lot of unknown facts in ML are brought up in the course.

교육 기관: Kim J W

Jun 18, 2019

very good

교육 기관: 이전규

Jun 23, 2019

good

교육 기관: SOYOUNG J

Jun 23, 2019

Great Course

교육 기관: Jincheol W

Jun 27, 2019

Good Job!!!!

교육 기관: 김민지

Jun 29, 2019

Perfect for my study ML

교육 기관: 최일훈

Jun 29, 2019

아주 좋아요

교육 기관: 최철웅

Jul 02, 2019

Very Good!