Introduction

Interpretable Machine Learning를 번역 및 정리한 페이지입니다. :)

번역을 허락해주신 Chritoph Molnar에게 감사의 인사를 전합니다.

Special thanks to Christoph Molnar

원본

이 페이지는 norman3님의 PRML 정리 Theme을 사용하여 만든 페이지입니다.

New Posts

• Interpretable Machine Learning

  Feb 7, 2019

  Interpretable Machine Learning 번역 시작합니다.

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1. Introduction

• 1. Story Time
• 2. What Is Machine Learning?
• 3. Terminology

2. Interpretability

3. Datasets

4. Interpretable Models

• 1. Linear Regression
• 2. Logistic Regression
• 3. GLM, GAM and more
• 4. Decision Tree
• 5. Decision Rules
• 6. RuleFit
• 7. Other Interpretable Models

5. Model-Agnostic Methods

• 1. Partial Dependence Plot (PDP)
• 2. Individual Conditional Expectation (ICE)
• 3. Accumulated Local Effects (ALE) Plot
• 4. Feature Interaction
• 5. Permutation Feature Importance
• 6. Global Surrogate
• 7 Local Surrogate (LIME)
• 8 Scoped Rules (Anchors)
• 9 Shapley Values
• 10. SHAP (SHapley Additive exPlanations)

6. Example-Based Explanations

7. Neural Network Interprtation

8. A Look into the Crystal Ball