Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science.

In this rapidly growing digital era, generative AI's power reshapes the art of building more innovative machine learning ...

The engineering part—the process of selecting and converting these raw observations into desired features so that they can be ...

In today’s data-driven world, the ability to efficiently scale machine learning (ML ... associated with managing and deploying ML models at scale. Advanced feature engineering, combined with ML ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...