Extension

Extension

Complete

Why keep learning?

Poor data management amplifies bias, brittle models and compliance risk. Regulators and customers increasingly expect explainable, auditable pipelines—not only high offline accuracy.

Dive deeper: additional materials

• Data lineage overview: Data lineage (Wikipedia)
• Fairness in ML: Fairness (machine learning)
• Reproducibility tooling: DVC — Data Version Control
• Algorithmic bias: Algorithmic bias

Stretch project

Pick one production dataset and produce a one-page lineage sketch: sources, joins, PII handling, retention and known limitations. Share it with a peer for a red-team review.