ML Scenarios
Notes on ML Scenarios for ML platform / Applied AI interview preparation. The file index below shows what's in scope; click through to the individual notes for the depth.
Interview talking points
- This is a sub-topic under Ground-Truth-Evolution. See the parent for the broader interview framing.
Files in this folder
| File | Title |
|---|---|
| 00-ml-scenarios-index.md | ML Scenarios — Index |
| 01-recommendation-label-decay.md | ML Scenario 01 — Recommendation Label Decay |
| 02-sentiment-classifier-domain-shift.md | ML Scenario 02 — Sentiment Classifier Domain Shift |
| 03-search-ranking-ui-redesign.md | ML Scenario 03 — Search Ranking Invalidated by UI Redesign |
| 04-spam-review-adversarial-evolution.md | ML Scenario 04 — Spam / Abuse Review Detection: Adversarial Label Expiry |
| 05-demand-forecasting-promo-distortion.md | ML Scenario 05 — Demand Forecasting and Promotional Distortion |
| 06-absa-aspect-emergence.md | ML Scenario 06 — ABSA Aspect Emergence |
| 07-embedding-category-expansion.md | ML Scenario 07 — Embedding Model and Category Expansion |
| 08-cover-art-style-drift.md | ML Scenario 08 — Cover Art Style Drift |
Back to the parent.