Fennel's Primitives for maintaining Data & Feature Quality

All of Machine Learning is GIGO - Garbage In, Garbage Out. And our ML models are only as good as the quality and the correctness of features, which in turn depend on the quality and the correctness of underlying data. In this talk, we will survey seven key primitives implemented by Fennel that are critical for ensuring that all data & features stay reliable and trustworthy.