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Interpretable Machine Learning with Python

You're reading from   Interpretable Machine Learning with Python Build explainable, fair, and robust high-performance models with hands-on, real-world examples

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803235424
Length 606 pages
Edition 2nd Edition
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Author (1):
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Serg Masís Serg Masís
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Serg Masís
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Table of Contents (17) Chapters Close

Preface 1. Interpretation, Interpretability, and Explainability; and Why Does It All Matter? 2. Key Concepts of Interpretability FREE CHAPTER 3. Interpretation Challenges 4. Global Model-Agnostic Interpretation Methods 5. Local Model-Agnostic Interpretation Methods 6. Anchors and Counterfactual Explanations 7. Visualizing Convolutional Neural Networks 8. Interpreting NLP Transformers 9. Interpretation Methods for Multivariate Forecasting and Sensitivity Analysis 10. Feature Selection and Engineering for Interpretability 11. Bias Mitigation and Causal Inference Methods 12. Monotonic Constraints and Model Tuning for Interpretability 13. Adversarial Robustness 14. What’s Next for Machine Learning Interpretability? 15. Other Books You May Enjoy
16. Index

Index

A

Ablation-CAM 255

accuracy 63

advanced feature selection methods 383, 386

autoencoders 387

dimensionality reduction 387

genetic algorithms 387, 388

model-agnostic feature importance 386, 387

adversarial attacks 14, 66, 513

backdooring 523

Carlini and Wagner infinity
norm attack 526-528

evasion attacks 523

fast gradient sign method attack 525, 526

inference attacks 523

poisoning 523

reprogramming 523

targeted adversarial patch attack 528-531

trojaning 523

adversarial defenses

detection 531

postprocessing 531

preprocessing 531

training 531

transformer 531

Adversarial Patches (APs) 528

adversarial robustness 550

evaluating 541

model robustness, comparing with attack strength 541-543

Adversarial Robustness Toolbox (ART) 524

adversarial training 531

Akaike's Information Criteria (AIC) 380

algorithmic governance 12

algorithmic transparency 10

American...

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