TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers. According to the Hacker News ...

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 ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google is pushing the bar on how teams work with their data. Today at its ...

Success in Google Ads hinges on how well you use your data. With AI-driven features like Smart Bidding, traditional PPC ...

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, ...

Microsoft has refreshed its ML.Net open source machine learning framework, fitting its beta Version 0.5 with TensorFlow model scoring as a transform to ML.Net. This capability enables use of an ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Coinciding with the database improvements announced this morning during Google’s annual Cloud Next conference, the Mountain View company announced a slew of new capabilities heading to its data ...