Principles and Practice
Brown, Lawrie & Stallings, William
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This book systematically explores modern cryptography, bridging the gap between theoretical frameworks and engineering practices and transforming complex mathematical concepts into accessible, real-world algorithms.
This book examines AI's transformative impact on higher education, from enhancing teaching and learning to raising ethical challenges like academic integrity and bias.
Tay explores the Performance-Interpretability Trade-off (PIT) as a critical tension in AI and machine learning, and shows its distinctive form in discourse analysis where predictive success and interpretive meaning are inseparable.This book reframes PIT as a site of conceptual negotiation and theoretical innovation.
