Implementing Your First BQML Algorithm in Looker

  Author: Christelle Xu     Leveraging BQML in tandem with Looker’s semantic layer to build, visualise, and deliver powerful predictions About a year ago, Google announced the release of BigQuery ML (BQML) which at the time of writing, allows users to create and run fundamental models like linear regression, logistic regression, and k-means clustering…
  • All
  • Events
  • News
  • Insights
  • Analytics
  • How-to
Celebrating Dataset Diversity in Recommender Systems
Propensity Modelling at Scale using TensorFlow Estimators and Cloud AI Platform
Joining CSV Data In Apache Beam
How to efficiently grow your all-around ML capability, from R&D to production!
Datatonic Achieves the Marketing Analytics Partner Specialization in the Google Cloud Partner Specialization Program
Datatonic Wins Google Cloud EMEA Services Partner of the Year Award
Helping MandM Direct select the right audience for Google Ad campaigns
Let’s get some structure into this! – Extracting features from free form text
Accelerate Machine Learning on Google Cloud with Intel Xeon processors
Up next
Case Studies
View now