Feature Engineering With Keras and BigQuery ML
Feature engineering can happen before training, inside the model pipeline, or inside a data warehouse. Two practical options are Keras preprocessing layers and BigQuery ML transformations. This guide explains when to use each approach and what patterns learners should understand first. Quick Answer Use Keras preprocessing layers when you want preprocessing packaged with a TensorFlow model. Use BigQuery ML feature engineering when your data already lives in BigQuery and you want SQL-based transformations close to the warehouse. ...