River Publishers Series in River Rapids
Explainable Artificial Intelligence: A Practical Guide
Authors:
Parikshit Narendra Mahalle, Vishwakarma Institute of Information Technology, Pune, India
Yashwant Sudhakar Ingle, Vishwakarma Institute of Information Technology, Pune, India
ISBN: 9788770047135 e-ISBN: 9788770047128
Available: December 2024
This book explores the growing focus on artificial intelligence (AI) systems in both industry and academia. It evaluates and justifies AI applications while enhancing trust in AI outcomes and aiding comprehension of AI feature development. Key topics include an overview of explainable AI, black-box model understanding, interpretability techniques, practical XAI applications, and future trends and challenges in XAI.
Technical topics discussed in the book include:
Technical topics discussed in the book include:
- Explainable AI overview
- Understanding black-box models
- Techniques for model interpretability
- Practical applications of XAI
- Future trends and challenges in XAI.
Artificial intelligence, explainable AI, machine learning, model explainability, SHAP, LIME, ELI5, What-if Tool, AIX360, Skater
1. Explainable AI Overview
2. Understanding Black-box Models
3. Techniques for Model Interpretability
4. Practical Applications of XAI
5. Future Trends and Challenges in XAI
2. Understanding Black-box Models
3. Techniques for Model Interpretability
4. Practical Applications of XAI
5. Future Trends and Challenges in XAI