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 ...

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 ...

If last week's Google Next 2018 event is any indication, Google Cloud is growing quickly. Registrations for the July 23 to July 26 event topped 25,000, and actual attendance easily doubled the 10,000 ...

Two of the greatest obstacles to getting started with today’s deep learning systems have been the lack of truly “point and click” interfaces to creating new models and the immense complexities in ...

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, ...

Google’s history of machine-learning research increasingly informs its cloud product development strategy, and it introduced a preview of machine-learning capabilities for its BigQuery data warehouse ...

Google Cloud Machine Learning Engine: The smart person’s guide Your email has been sent In 2016, Google gave businesses the ability to build machine learning models using its cloud platform.

Google Cloud AI and Machine Learning Platform is missing some pieces, and much is still in beta, but its scope and quality are second to none. Google has one of the largest machine learning stacks in ...

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 ...