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E05 · Data-Centric AI

A free, illustrated L3 course of 8 modules in the ML Engineering track. Modules include: Data as the product; Labeling and annotation quality; Label noise and how to find it.

E05 L3 · Advanced 8 modules · about 32 lessons Planned · Ring 3

Part of the ML Engineering track. Ships in Ring 3 (Breadth) of the roadmap.

Modules

1. Data as the product
2. Labeling and annotation quality
3. Label noise and how to find it
4. Dataset shift and slices
5. Synthetic data
6. Augmentation strategy
7. Designing evaluation sets
8. Datasheets and documentation

Signature illustrations

The pictures a learner should still see in their head a year later:

Label-noise confusion grids, performance heatmaps by slice.

Status

This course is planned, not written yet. It ships with Ring 3 (Breadth).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.