Mastodawn

Better machine learning results do not always come from changing the model.

A lot of the time, they come from building better features.

I just published a post on AI feature engineering techniques, including automated feature synthesis, embeddings, dimensionality reduction, and feature selection, and why they still matter in modern ML workflows.