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

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Data lineage overview:

Data lineage (Wikipedia)

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Fairness in ML:

Fairness (machine learning)

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Reproducibility tooling:

DVC — Data Version Control

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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.

In progress