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Recommendation Systems with TensorFlow on GCP(으)로 돌아가기

Google 클라우드의 Recommendation Systems with TensorFlow on GCP 학습자 리뷰 및 피드백

4.5
189개의 평가
21개의 리뷰

강좌 소개

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 <<<...

최상위 리뷰

FF

Apr 01, 2019

awesomw complexity. some videos are very long, but worth revisiting

LM

Jan 04, 2019

very good course. Complex sometimes but well worth my time

필터링 기준:

Recommendation Systems with TensorFlow on GCP의 21개 리뷰 중 1~21

교육 기관: Liang-Chun C

Nov 16, 2018

Not very intuitive explanation compared with previous four courses.

교육 기관: Jesper O

Mar 14, 2019

The labs by themselves - 'jupyter' notebooks - are good, but they were obviously developed in some other context and then reused in coursera. This is a problem. There about 6 labs per course - in each of the 10 courses of the two Machine Learning specialisations. Each lab starts the same way - connect to the google cloud, allocate a vm, check out a git repository - exact same repository for all labs. It takes 10 minutes. Not 10 minutes where you can go away and have a cup of coffee - 10 minutes where you have to be there and accept terms, answer 'Y' etc. If the labs are done outside the Coursera context you would be able to pick up where you left off in the previous lab - zero setup time. But not here - it is too much wasted time: 10*6*10=600 minutes. Evil.

교육 기관: Fenrir

Apr 20, 2019

确实教了东西,不过可用性很差,tutorial基本上对实践没什么帮助

교육 기관: Sanjay K

Jan 12, 2019

No tensorflow.. lot of talk not a single math.. NOt good

교육 기관: Harold L M M

Nov 29, 2018

This was a large and hard course on ML and in particular for Recommendation Systems. The videos were way to long. The content was very interesting. I've learned new algorithms like WALS for Collaborative Filtering and others more.

The Cloud Composer technology is cool for Keeping your System learning all the time.

Thank you Googlers.

교육 기관: Luiz G M

Jan 04, 2019

very good course. Complex sometimes but well worth my time

교육 기관: Carlos V

Feb 17, 2019

Excellent Course, in particular, the explanations around Google's Cloud Composer, the quality of the templates and the labs, thanks very much Lack and all your team for putting together this great specialization and course.

교육 기관: Facundo F

Apr 01, 2019

awesomw complexity. some videos are very long, but worth revisiting

교육 기관: Hicham A

Apr 12, 2019

Excelent End to end recomandation systems course

교육 기관: Sinan G

Jan 07, 2019

Great work by Google, a lot of material and system walk-throughs. Apache Airflow / Google Composer is a smart tool but perhaps too complicated where more simple e.g. bash cron scripts could suffice - however it is understood that for truly scalable end-to-end systems the traditional single-cloud-virtual-machine solutions will not do. We are shown how that could look like and much more.

교육 기관: Agerneh D

Nov 17, 2018

Great contents!

교육 기관: Jun W

Nov 18, 2018

An excellent course. Frankly to say, I did not fully understand the details of this specialization. But it let me get a general idea what Google is doing. GCP has a lot of cool staff, and definitely has a bright future. Thank you Googlers.

교육 기관: hwang y h

Jul 21, 2019

it is very helpful to understand how recommendations system , GCP composer works.

교육 기관: Daniel L

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.

교육 기관: 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.

교육 기관: Hemant D K

Dec 03, 2018

A very challenging course.

교육 기관: José G M

Jul 31, 2019

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

교육 기관: David K

Apr 22, 2019

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

교육 기관: 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.

교육 기관: 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.

교육 기관: Maxim

Jul 05, 2019

One star, but not to content. But because the course don't have "Audit" option. It's mean that after subscription ended and you received certificate, You can't more access to video material in course. When subscription active, You can use mobile application and download video material for studying offline. Before yours subscription ened, copy video material to safe place for later review.

p.s.

But the course content deserves a higher mark - 4-5 stars.