Open Doors to ML: How AAA Leverages BQML and Google Sheets to Predict Call Volume (Cloud Next '19)
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25.7
Google Cloud Platform1.17 млн
Опубликовано 12 апреля 2019, 0:01
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 → bit.ly/2TRo5ZO
Watch more:
Next '19 Data Analytics Sessions here → bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the GCP Channel → bit.ly/GCloudPlatform
Speaker(s): Sara Robinson, Chuck Brooks, Matt Powers
Session ID: DA310
product: Cloud - General; fullname: Sara Robinson; event: Google Cloud Next 2019;
Intro to BigQuery ML → bit.ly/2TRo5ZO
Watch more:
Next '19 Data Analytics Sessions here → bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the GCP Channel → bit.ly/GCloudPlatform
Speaker(s): Sara Robinson, Chuck Brooks, Matt Powers
Session ID: DA310
product: Cloud - General; fullname: Sara Robinson; event: Google Cloud Next 2019;
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