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Recommendation Systems with TensorFlow on GCP, Google Cloud

4.6
61 notes
10 avis

À propos de ce cours

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 <<<...

Meilleurs avis

par LM

Jan 04, 2019

very good course. Complex sometimes but well worth my time

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10 avis

par Carlos Viejo

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.

par Sanjay K

Jan 12, 2019

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

par Sinan Gabel

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.

par Luiz Gustavo Martins

Jan 04, 2019

very good course. Complex sometimes but well worth my time

par Hemant Devidas Kshirsagar

Dec 03, 2018

A very challenging course.

par Harold Lawrence Marzan Mercado

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.

par 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.

par Jun Wang

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.

par Agerneh Dagnew

Nov 17, 2018

Great contents!

par Liang-Chun Chiu

Nov 16, 2018

Not very intuitive explanation compared with previous four courses.