AutoML Tables with BigQuery public datasets
Data has been called the new oil of the digital economy. To extend this analogy, automated machine learning is the engine that uses data to provide advanced analytics without custom manual plumbing each time, but I digress. Real-world data for performing machine learning experiments comes from various organizations, though counterparts are needed to perform experiments and try out hypotheses. Such a data repository is the Google BigQuery cloud data warehouse – specifically, its large collection of public datasets. In this example, we will use BigQuery, one of the three methods specified in the data ingestion process for AutoML Tables, for our experiment.
Like the loan dataset we used earlier, the adult income dataset is a public dataset derived from the 1994 United States Census Bureau and uses demographic information to predict the income of two classes: above or below $50,000 per year. The dataset contains 14 attributes, with...
