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Interpretable Machine Learning with Python - Second Edition

You're reading from  Interpretable Machine Learning with Python - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781803235424
Pages 606 pages
Edition 2nd Edition
Languages
Author (1):
Serg Masís Serg Masís
Profile icon Serg Masís

Table of Contents (17) Chapters

Preface 1. Interpretation, Interpretability, and Explainability; and Why Does It All Matter? 2. Key Concepts of Interpretability 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

The mission

The privately contracted security services industry market worldwide is valued at over USD 250 billion and is growing at around 5% annually. However, it faces many challenges, such as shortages of adequately trained guards and specialized security experts in many jurisdictions, and a whole host of unexpected security threats. These threats include widespread coordinated cybersecurity attacks, massive riots, social upheaval, and, last but not least, health risks brought on by pandemics. Indeed, 2020 tested the industry with a wave of ransomware, misinformation attacks, protests, and COVID-19 to boot.

In the wake of this, one of the largest hospital networks in the United States asked their contracted security company to monitor the correct use of masks by both visitors and personnel throughout the hospitals. The security company has struggled with this request because it diverts security personnel from tackling other threats, such as intruders, combative patients, and...

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