End to End Collaborative Data Workflows (Cloud Next '18)

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13 дней – 4 3570:33
Google AI Studio for developers
Опубликовано 26 июля 2018, 21:13
How do data teams collaborate? In this session we'll walk through and end to end use case to build a recommendation engine. First we'll find and cleanse a dataset using Cloud Dataprep and store in BigQuery. Next we'll use Cloud Datalab to create a simple regression model to create recommendations and deploy it to Cloud ML Engine. Finally, we'll incorporate the production prediction API into a running application hosted in App Engine.

DA210

Event schedule → g.co/next18

Watch more Data Analytics sessions here → bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → bit.ly/Allsessions

Subscribe to the Google Cloud channel! → bit.ly/NextSub


re_ty: Publish; product: Cloud - Compute - App Engine, Cloud - Data Analytics - BigQuery; fullname: Sandip Parikh; event: Google Cloud Next 2018;
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