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.
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Publisher: Google Cloud
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