Interpretable and Trustworthy AI by Pethuru Raj (.ePUB)+

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File Size: 27.7 MB

Interpretable and Trustworthy AI: Techniques and Frameworks by Pethuru Raj, Kousalya Govardhanan, B. Sundaravadivazhagan, Shubham Mahajan, M. Nalini
Requirements: .ePUB, .PDF reader, 27.7 MB
Overview: Users expect proper explanation and interpretability of all the decisions being taken by machine and deep learning (ML/ DL) algorithms. Interpretable and Trustworthy AI: Techniques and Frameworks covers key requirements for interpretability and trustworthiness of artificial intelligence (AI) models and how these needs can be met. This book explores artificial intelligence’s impact, limitations, and solutions. It examines AI’s role as a transformative technological paradigm. It explores how AI drives business advancement through intelligent software solutions, enabling automation, augmentation, and acceleration of IT-enabled business processes. The book establishes AI’s fundamental capacity to envision and implement sustainable business transformations. Finally, the book presents techniques and approaches for creating sustainable, interpretable, and trustworthy AI models. It explores model-agnostic frameworks and methodologies designed to Trustworthy and Transparent AI, Explainable and Interpretable AI, Responsible AI, Generative AI, Agentic AI, and Efficient and Edge AI. With its comprehensive structure, the book provides a comprehensive examination of AI’s potential, its current limitations, and pathways to overcome these challenges for wider adoption.
Genre: Non-Fiction > Tech & Devices

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