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How BigQuery ML makes powerful machine learning (ML) accessible to everyone by enabling users to build and run ML models directly within BigQuery using simple SQL queries, thus eliminating data movement and infrastructure complexities. It further highlights exciting new capabilities including enhanced MLOps integration, the ability to unlock insights from unstructured data, broader model import and remote inference options, advanced multivariate time series forecasting, and new feature engineering functions, exemplified by a customer demo on predicting click-through rates using both structured and unstructured data
By Dan SarmientoHow BigQuery ML makes powerful machine learning (ML) accessible to everyone by enabling users to build and run ML models directly within BigQuery using simple SQL queries, thus eliminating data movement and infrastructure complexities. It further highlights exciting new capabilities including enhanced MLOps integration, the ability to unlock insights from unstructured data, broader model import and remote inference options, advanced multivariate time series forecasting, and new feature engineering functions, exemplified by a customer demo on predicting click-through rates using both structured and unstructured data