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Explainable AI for Fraud Detection de Varun Awasthi

Explainable AI for Fraud Detection: Apress Pocket Guides

Autor Varun Awasthi
en Limba Engleză Paperback – 12 apr 2027

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Specificații

ISBN-13: 9798868835629
Ilustrații: Approx. 180 p.
Dimensiuni: 155 x 235 mm
Ediția:First Edition
Editura: APRESS L.P.
Colecția Apress
Seria Apress Pocket Guides

Notă biografică

Varun Awasthi is a visionary technology leader with over 18 years of experience driving innovation in software engineering, automation, and AI. He has authored impactful articles and published patents in payment technology and fraud detection. Passionate about mentorship, continuous learning, and real-world innovation, Varun is known for blending deep technical expertise with a human-centred approach to problem-solving. He is based in the US.

Cuprins

Chapter 1: Introduction to Fraud Detection in the Digital Age.-  Chapter 2: The Black Box Problem in Machine Learning.- Chapter 3: Fundamentals of SHAP and Model Explainability.- Chapter 4: Credit Card Fraud Dataset and Preprocessing.- Chapter 5: Building the Fraud Detection Model.- Chapter 6: Applying SHAP for Interpretability. Chapter 7: Discovering Fraud Patterns with Clustering.- Chapter 8: Simulating Emerging Fraud - Identity Theft Case Study.- Chapter 9: Business and Regulatory Implications.- Chapter 10: Building Scalable and Ethical AI Systems.- Chapter 11: Future Directions in Explainable Fraud Detection.- Chapter 12: Conclusion.