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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
Author Profile Icon Serg Masís
Serg Masís
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Toc

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

The mission

The used car market in the United States is a thriving and substantial industry with significant economic impact. In recent years, approximately 40 million used light vehicles have been sold yearly, representing over two-thirds of the overall yearly sales in the automotive sector. In addition, the market has witnessed consistent growth, driven by the rising cost of new vehicles, longer-lasting cars, and an increasing consumer preference for pre-owned vehicles due to the perception of value for money. As a result, this market segment has become increasingly important for businesses and consumers.

Given the market opportunity, a tech startup is currently working on a machine-learning-driven, two-sided marketplace for used car sales. It plans to work much like the e-commerce site eBay, except it’s focused on cars. For example, sellers can list their cars at a fixed price or auction them, and buyers can either pay the higher fixed price or participate in the auction...

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