Chevron Left
Zurück zu Recommendation Systems with TensorFlow on GCP

Bewertung und Feedback des Lernenden für Recommendation Systems with TensorFlow on GCP von Google Cloud

4.5
Sterne
435 Bewertungen
78 Bewertungen

Über den Kurs

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-Bewertungen

DL
19. Aug. 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
25. März 2020

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

Filtern nach:

51 - 75 von 78 Bewertungen für Recommendation Systems with TensorFlow on GCP

von Etienne M

14. Juli 2021

It is very useful. Recomended.

von Hua S

7. Okt. 2020

Thank you all very much!

von KAUSHIK G

30. Mai 2020

Absolutely fascinating

von PAN W

17. Dez. 2021

Useful information

von Agerneh D

17. Nov. 2018

Great contents!

von Rahul G

6. Nov. 2019

awesome labs !

von Ayoub B

16. Juni 2020

great course.

von wildan p

18. Jan. 2020

comprohensive

von Gregory G J

20. März 2021

Thumbs Up!

von Mr. J

26. März 2020

Brilliant.

von Ngọc H N

23. Juni 2020

Good job!

von Kamlesh C

27. Juni 2020

thanks

von Naman M

9. Okt. 2019

great

von Anshumaan K P

24. Nov. 2020

COOL

von Atichat P

14. Apr. 2020

Good

von Philip V j

7. Apr. 2020

Good

von Afreen F

28. Nov. 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.

von Sudheep E

15. Apr. 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.

von Rodrigo S

12. Jan. 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!

von Guillermo M

31. Juli 2019

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

von Pattana A

27. Apr. 2020

Some Lab script do not work

von Hemant D K

2. Dez. 2018

A very challenging course.

von KyleGHan

11. Jan. 2020

good

von Ben

21. Jan. 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.

von Abraham T

30. Mai 2021

The Qwiklabs materials are outdated, however the lectures are insightful.