entanglement

Entanglement in machine learning (ML) pipelines refers to the fact that when a change is made in one of the ML pipeline steps, then other steps are affected by the change. For example, a fundamental change in the data preparation and feature engineering phases of the ML pipeline can have a drastic effect in subsequent ... Read more

ETL

ETL stands for extract, transform, and load. It refers to a data science and machine learning procedure, in which ML model data is being collected (extracted) from data sources, then data is transformed and finally loaded into an ML model.