Chevron Left
Volver a Recommendation Systems with TensorFlow on GCP

Opiniones y comentarios de aprendices correspondientes a Recommendation Systems with TensorFlow on GCP por parte de Google Cloud

302 calificaciones
47 revisiones

Acerca del Curso

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: <<<...

Principales revisiones


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.


Apr 19, 2020

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

Filtrar por:

1 - 25 de 49 revisiones para Recommendation Systems with TensorFlow on GCP

por 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.


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

por 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.

por Liang-Chun C

Nov 16, 2018

Not very intuitive explanation compared with previous four courses.

por Fenrir

Apr 20, 2019


por Sanjay K

Jan 12, 2019

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

por 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.

por 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.

por Rıdvan S

Apr 15, 2020

Course is really good. If you have some knowledge about recommendation systems but you don't know how you can realize it, this course is completely for you. However, some examples in labs don't work. Generally, fails on examples are about dependencies. But, I think, instuctors should ensure that these examples work.

por 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.

por 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.

por Navid K

Feb 05, 2020

Amazing, Amazing Amazing course and specialisation. Definitely one of the best out there, if not The best!!

practical, advanced and real-world examples, particularly I loved You Tube example.

Another great job from Google

por 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.

por Joe A

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.


Apr 19, 2020

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

por Rohan P L

May 03, 2020

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

Easy lab setups and hands on learning.

por Muhammad J

Apr 09, 2020

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

por Ritu K

May 25, 2020

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

por hwang y h

Jul 21, 2019

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

por Facundo F

Apr 01, 2019

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

por Luiz G M

Jan 04, 2019

very good course. Complex sometimes but well worth my time

por Putcha L N R

Oct 01, 2019

Succinct course on building recommendation systems!!

por Shayne C

Dec 14, 2019

Again, very information and super fun. Thank you.

por Hicham A

Apr 12, 2019

Excelent End to end recomandation systems course

por Mahendra S C

Dec 20, 2019

great course Lots of details but its worth it.

por Seyedeh R G

Apr 01, 2020

It was really great. Thank you all.