Open Doors to ML: How AAA Leverages BQML and Google Sheets to Predict Call Volume (Cloud Next '19)



Have experience with data analysis but new to ML? With BigQuery machine learning you can take data stored in BigQuery and use it to train regression and classification models; no ML experience required. In this session, we’ll take two public datasets — one for regression, one for classification — and show the end-to-end process of training a model and generating predictions in BigQuery ML.

Intro to BigQuery ML → https://bit.ly/2TRo5ZO

Watch more:
Next ’19 Data Analytics Sessions here → https://bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): Sara Robinson, Chuck Brooks, Matt Powers

Session ID: DA310
product:BigQuery; fullname:Sara Robinson; event: Google Cloud Next 2019; re_ty: Publish;

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