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Learner Reviews & Feedback for Recommendation Systems with TensorFlow on GCP by Google Cloud

4.5
stars
408 ratings
69 reviews

About the Course

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 <<<...

Top reviews

DL
Aug 19, 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 25, 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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51 - 69 of 69 Reviews for Recommendation Systems with TensorFlow on GCP

By Rahul G

Nov 6, 2019

awesome labs !

By Ayoub B

Jun 16, 2020

great course.

By Muhammad W P A

Jan 18, 2020

comprohensive

By Gregory G J

Mar 20, 2021

Thumbs Up!

By Mr. J

Mar 26, 2020

Brilliant.

By Ngọc H N

Jun 23, 2020

Good job!

By Kamlesh C

Jun 27, 2020

thanks

By Naman M

Oct 9, 2019

great

By Anshumaan K P

Nov 24, 2020

COOL

By Atichat P

Apr 14, 2020

Good

By Philip V j

Apr 7, 2020

Good

By 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.

By Sudheep E

Apr 15, 2020

Very good course. In the last assignment , some explanation was missing on how to trigger a manual test for a DAG. So please correct that. Also before each assignment give an overview of todo parts such that the student can keep those items ready with him.

By 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!

By Guillermo M

Jul 31, 2019

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

By Pattana A

Apr 27, 2020

Some Lab script do not work

By Hemant D K

Dec 2, 2018

A very challenging course.

By KyleGHan

Jan 11, 2020

good

By Ben

Jan 21, 2021

Pros:

Doesn't rush over the various methods, discusses them in detail. The lab videos are some of the most in depth in this specialization.

Discusses the logic of designing a good recommender system quite well.

Cons:

The content is out of date in applications. Like it seems every course in this spec, the tasks we are assigned and the tasks discussed are totally mismatched a lot of the time.