E-Book, Englisch, 454 Seiten
Rothman Hands-On Explainable AI (XAI) with Python
1. Auflage 2020
ISBN: 978-1-80020-276-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
E-Book, Englisch, 454 Seiten
ISBN: 978-1-80020-276-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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Table of Contents - Explaining Artificial Intelligence with Python
- White Box XAI for AI Bias and Ethics
- Explaining Machine Learning with Facets
- Microsoft Azure Machine Learning Model Interpretability with SHAP
- Building an Explainable AI Solution from Scratch
- AI Fairness with Google's What-If Tool (WIT)
- A Python Client for Explainable AI Chatbots
- Local Interpretable Model-Agnostic Explanations (LIME)
- The Counterfactual Explanations Method
- Contrastive XAI
- Anchors XAI
- Cognitive XAI