Stop 13 · Business Communication & StorytellingTopics · 4/7
Explainable AI (SHAP, LIME Overview)
Part of the Data Science Roadmap
In short
Techniques for explaining an individual model prediction — SHAP and LIME estimate how much each feature contributed to a specific prediction, crucial for trust in high-stakes decisions (credit, healthcare, hiring).
How to learn this
- 1Apply SHAP to a trained model and interpret the output for a single prediction.
- 2Learn the conceptual difference between global explainability (the whole model) and local (one prediction).
- 3Understand why regulated industries often require this kind of explainability by law.
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