Among the many announcements from last week’s Google Cloud Next event was a noteworthy update to Google LLC’s BigQuery, adding machine learning capabilities to the SQL data warehousing tool. The ...

Google moved to advance its position in the automated machine learning market with expanded Cloud AutoML and BigQuery ML capabilities aimed at making it easier for data analysts, data scientists and ...

SANTA CRUZ, Calif.--(BUSINESS WIRE)--Looker, a leading data platform company, today announced an integration with Google Cloud BigQuery ML (BQML) that accelerates the time-to-value of data science ...

At it Cloud Next conference in San Francisco today, Google is announcing new machine learning (ML) capabilities in its BigQuery cloud data warehouse service. This new service within a service is, ...

Looker is integrating its platform with Google Cloud BigQuery ML (BQML), accelerating the time-to-value of data science workflows. With Looker and BigQuery ML, data teams can now save time and ...

Hidden in your Google Ads data is the key to better ROI. BigQuery ML reveals patterns, predicts success, and helps you spend smarter. Success in Google Ads hinges on how well you use your data. With ...

There are still a lot of obstacles to building machine learning models and one of those is that in order to build those models, developers often have to move a lot of data back and forth between their ...

One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...