Tag: data-science
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xxAI – Beyond Explainable AI
xxAI – Beyond Explainable AI represents a significant milestone in the ongoing mission to bridge the gap between complex machine learning models and human interpretability. Edited by Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, and Wojciech Samek, this volume encapsulates the forefront of research in explainable artificial intelligence (xAI), extending its boundaries…
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Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning
Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning by Uday Kamath and John Liu is a seminal work in the evolving landscape of artificial intelligence, particularly in the critical domain of explainable AI (XAI). As AI systems become increasingly integrated into the fabric of society, influencing decisions in healthcare, finance, justice, and beyond, the…