Introduction to Machine Learning Model Explanations and Interpretability

Introduction to Machine Learning Model Explanations and Interpretability

UofU Data Science via YouTube Direct link

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11 of 11

11 of 11

Lecture ends

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Introduction to Machine Learning Model Explanations and Interpretability

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  1. 1 Recording starts
  2. 2 Motivation
  3. 3 Background
  4. 4 Free-text explanations
  5. 5 Gradient-based highlighting
  6. 6 Pairwise feature influence
  7. 7 Concept-based explanations
  8. 8 Data influence
  9. 9 Contrastive editing
  10. 10 Logistics
  11. 11 Lecture ends

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