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 ...

Google BigQuery is a distributed, serverless SQL engine that provides a way to query petabytes of data. It has built in machine learning, and is serverless. This book by Google insiders aims to show ...

Google has released a beta version of BigQuery ML, new software that lets users build some machine learning models inside the Google BigQuery cloud data warehouse with standard SQL commands. BigQuery ...

AI is shaping every field by making skills (such as coding or data visualization) accessible to everyone, which weren’t available in the past. An AI operator who can run the right prompts can perform ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

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 ...

Benjamin is a business consultant, coach, designer, musician, artist, and writer, living in the remote mountains of Vermont. He has 20+ years experience in tech, an educational background in the arts, ...

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 ...

Google is trying to foster more collaboration within the machine learning community, which is focused on a specific subset of artificial intelligence that tries to mimic the way the human brain learns ...