[h2o.ai] An Introduction to Machine Learning Interpretability by Patrick Hall & Navdeep Gill

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eingestellt am 21. Okt 2019
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An Introduction to Machine Learning Interpretability - An Applied Perspective on Fairness, Accountability, Transparency, and Explainable AI

by Patrick Hall & Navdeep Gill

2nd edition





(O’Reilly Media, 2019), 62 Seiten

Inhalt:
  • An Introduction to Machine Learning Interpretability
  • Definitions and Examples
  • Social and Commercial Motivations for Machine Learning Interpretability
  • A Machine Learning Interpretability Taxonomy for Applied Practitioners
  • Common Interpretability Techniques
  • Limitations and Precautions
  • Testing Interpretability and Fairness
  • Machine Learning Interpretability in Action
  • Looking Forward

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