A new preprocessing framework generates synthetic data to reduce representation bias in machine learning models while maintaining competitive predictive performance.

Data preprocessing, a component of data preparation, describes any type of processing performed on raw data to prepare it for another data processing procedure. It has traditionally been an important ...

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...

Machine learning projects can succeed or fail based on a single, seemingly simple factor: data quality. Data scientists and engineers have recognized -- often through hard-won lessons -- that this ...