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Recommendation Systems with TensorFlow on GCP, Google Cloud

Оценки: 30
Рецензии: 6

Об этом 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: <<<...
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Рецензии: 6

автор: Hemant Devidas Kshirsagar

Dec 03, 2018

A very challenging course.

автор: 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.

автор: 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.

автор: 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.

автор: Agerneh Dagnew

Nov 17, 2018

Great contents!

автор: Liang-Chun Chiu

Nov 16, 2018

Not very intuitive explanation compared with previous four courses.