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Вернуться к Recommendation Systems with TensorFlow on GCP

Отзывы учащихся о курсе Recommendation Systems with TensorFlow on GCP от партнера Google Cloud

4.5
звезд
Оценки: 391
Рецензии: 68

О курсе

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 <<<...

Лучшие рецензии

JA
25 мар. 2020 г.

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

JC
13 июля 2020 г.

This course and specialization are a great way to learn how to use the Google Cloud Platform with Tensorflow to build cutting edge systems.

Фильтр по:

26–50 из 68 отзывов о курсе Recommendation Systems with TensorFlow on GCP

автор: Daniel L

20 авг. 2019 г.

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.

автор: Joe A

26 мар. 2020 г.

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

автор: Johannes C

14 июля 2020 г.

This course and specialization are a great way to learn how to use the Google Cloud Platform with Tensorflow to build cutting edge systems.

автор: RAJALAKSHMI S

19 апр. 2020 г.

It is a wonderful course, to learn about the practical implementation of recommendation systems on Google Cloud Platform.

автор: Rohan P L

3 мая 2020 г.

An awesome course. Excellent explanation of concepts as well as programs.

Easy lab setups and hands on learning.

автор: Muhammad J

9 апр. 2020 г.

kudos to team gcp, practical guide to implementing a recommendation system and helpful overview of gcp tml ools

автор: Abhishek B

10 дек. 2020 г.

Had a great experience and learned a lot except some of the labs in the course are misplaced.

автор: Ritu K

24 мая 2020 г.

Composer component takes too long to initiate. Almost more than 25 minutes. Please fix it.

автор: hwang y h

21 июля 2019 г.

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

автор: Facundo F

31 мар. 2019 г.

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

автор: Enrique A M

26 окт. 2020 г.

Mil gracias Google, Mil Gracias Coursera, estan cambiando mi vida.

автор: Luiz G M

3 янв. 2019 г.

very good course. Complex sometimes but well worth my time

автор: Putcha L N R

1 окт. 2019 г.

Succinct course on building recommendation systems!!

автор: Shayne C

14 дек. 2019 г.

Again, very information and super fun. Thank you.

автор: Hicham A

12 апр. 2019 г.

Excelent End to end recomandation systems course

автор: Mahendra S C

20 дек. 2019 г.

great course Lots of details but its worth it.

автор: Rohan M J

27 сент. 2020 г.

I very much like it Thank you google..

автор: Seyedeh R G

1 апр. 2020 г.

It was really great. Thank you all.

автор: Muhammad S S

28 дек. 2019 г.

Very helpful course for AI starters

автор: Meet G

8 окт. 2019 г.

Best course of the Specialization

автор: Thinh N

21 окт. 2019 г.

It is useful course. Thank you!

автор: Hua S

7 окт. 2020 г.

Thank you all very much!

автор: Kaushik G

30 мая 2020 г.

Absolutely fascinating

автор: Agerneh D

17 нояб. 2018 г.

Great contents!

автор: Rahul G

6 нояб. 2019 г.

awesome labs !