When Google first released BigQuery ML, it was accompanied by much buzz, but experts said the suite of SQL extensions has since been eclipsed by other automated machine learning platforms. Many are ...

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 ...

데이터 분석이나 데이터 기반 구축 프로젝트를 개인적으로 진행하다 보면, 가장 많은 시간과 에너지를 소비하게 되는 것은 '코드를 작성하는 것' 그 자체보다 '알 수 없는 데이터 사양 조사', '설계의 타당성 검증', '결과물의 구성 결정'이 아닐까 합니다.저는 그동안 영국의 공공 오픈 데이터(부동산 등기, 에너지 성능, GIS 공간 데이터 등)를 활용한 분석 ...

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 ...

データ分析やデータ基盤構築のプロジェクトを個人で進めていると、もっとも時間とエネルギーを消費するのは「コードを書くこと」そのものよりも、「未知のデータ仕様の調査」「設計の妥当性の検証」「アウトプットの構成決め」ではないでしょうか。 私はこれまで、イギリスの公共オープンデータ（不動産登記、エネルギー性能、GIS空間データなど）を活用した分析パイプラインをBigQueryで構築し、海外の技術メディアで ...

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 ...

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 ...

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, ...

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 ...

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 ...