Introduction to Interpretable Machine Learning - Cynthia Rudin

Introduction to Interpretable Machine Learning - Cynthia Rudin

Institute for Advanced Study via YouTube Direct link

Introduction

1 of 10

1 of 10

Introduction

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Introduction to Interpretable Machine Learning - Cynthia Rudin

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  1. 1 Introduction
  2. 2 Machine Learning
  3. 3 Vectors
  4. 4 Classification
  5. 5 Demonstration
  6. 6 Natural Language Processing
  7. 7 Model Complexity
  8. 8 Decision Trees
  9. 9 Data Set
  10. 10 Information Theory

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