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学生对 Google 云端平台 提供的 Recommendation Systems with TensorFlow on GCP 的评价和反馈

4.5
261 个评分
35 条评论

课程概述

In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. • Devise a content-based recommendation engine • Implement a collaborative filtering recommendation engine • Build a hybrid recommendation engine with user and content embeddings >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

热门审阅

DL

Aug 20, 2019

I enjoyed this course too much, usually every company wants a recommended system, but the courses or examples available on the web are few. Very well explained many theoretical aspects.

JA

Mar 26, 2020

Amongst all tensorflow courses this is probably the most useful. Using AI to make better and automated recommendations can benefit most businesses.

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26 - Recommendation Systems with TensorFlow on GCP 的 37 个评论(共 37 个)

创建者 Muhammad W P A

Jan 19, 2020

comprohensive

创建者 Mr. J

Mar 27, 2020

Brilliant.

创建者 Naman M

Oct 10, 2019

great

创建者 Paulina M

Mar 30, 2020

Overall a good and comprehensive introduction to recommendation systems.

On the downside, some functions used were deprecated, there was sometimes inconsistency between versions in labs (for example automatic upgrading to Tensorflow 2.0, which was incompatible with other libraries used in the lab and things like that).

Also, in my opinion an insight into the models' results is lacking. There was a nice explanation of the performance in content-based part, but later during hybrid and context-aware systems there was no comment on models' accuracy in comparison to the original basic solution.

创建者 Afreen F

Nov 28, 2018

Theoretical part was great and some of it was really new for me(eg. WALS, contextual recommendations).

Lab was really pointless as the time provided did not justify the problem difficulty level. But, I guess that was necessary as resources used were expensive. Another pain point was creation of an account every time.

创建者 Rodrigo S

Jan 12, 2020

Some of the labs had no work for me to do whatsoever - just run the notebook as is. Other than that, great course. Cheers!

创建者 José G M

Jul 31, 2019

I would like that in the course provide for more readings to keep it.

创建者 Hemant D K

Dec 03, 2018

A very challenging course.

创建者 KyleGHan

Jan 11, 2020

good

创建者 Mark Z

Jun 17, 2019

Bad course overall. It has some theoretical content in it, but concepts are not explained in depth and videos are sometimes hard to follow. Speaking of assignments, I had no motivation for completing them, because, firstly, they are not graded, and secondly, they are terribly designed and one won't get much from them.

创建者 David K

Apr 22, 2019

Harder to follow than the other courses and did not love the teacher who led most of the lectures

创建者 Jakub B

Jun 26, 2019

Very poor course. Assignments are very weak and they do not test anything - there is no grader, you can just verify solution by watching the lab videos.

The content is OK, but web is full of good content on recommendation systems.

If you want to take this course by any means do not pay for it - by paying you only get access to qwiklab platform which sucks for these kind of assignments, and anyway you can do almost everything from the course on GCP free tier, and also not lose your progress every time you log out of lab.