Data preprocessing is a crucial step in any machine learning (ML) pipeline, as the quality of the data can greatly impact the accuracy and effectiveness of the final model. With the rise of automated ...

Data preprocessing is crucial in the Machine Learning pipeline because the models’ learning ability directly affects the quality of data and the underlying information acquired from this stage.

NPR's Adrian Ma speaks to Sam Levine, former director of the FTC's Bureau of Consumer Protection, now at UC Berkeley, about the use online data to charge some customers more for products and services.