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Recommendation Systems with TensorFlow on GCP, Google Cloud

4.5
117 Bewertungen
15 Bewertungen

Über diesen 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

von FF

Apr 01, 2019

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

von LM

Jan 04, 2019

very good course. Complex sometimes but well worth my time

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15 Bewertungen

von David Katz

Apr 22, 2019

Harder to follow than the other courses and did not love the teacher who led most of the lectures

von Fenrir

Apr 20, 2019

确实教了东西,不过可用性很差,tutorial基本上对实践没什么帮助

von Hicham AMINE

Apr 12, 2019

Excelent End to end recomandation systems course

von Facundo Ferrero

Apr 01, 2019

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

von Jesper Olsen

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.

von 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.

von Sanjay K

Jan 12, 2019

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

von 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.

von Luiz Gustavo Martins

Jan 04, 2019

very good course. Complex sometimes but well worth my time

von Hemant Devidas Kshirsagar

Dec 03, 2018

A very challenging course.