Bias in Machine Learning Models and Mitigation Techniques: A Systematic Analysis of Sources, Impacts, and Fairness Strategies in Modern AI Systems

FAIR MACHINE LEARNING WITH R: DETECTING AND REDUCING ALGORITHMIC BIAS (Decision Intelligence with R Series)

FAIR MACHINE LEARNING WITH R: DETECTING AND REDUCING ALGORITHMIC BIAS (Decision Intelligence with R Series)

Bias in AI and Machine Learning: Decoding Algorithmic Fairness in AI Systems: Exploring the Mathematics, Statistics, and Ethics of Fairness in Machine Learning and Artificial Intelligence

RESPONSIBLE AI WITH R: EXPLAINABILITY, BIAS DETECTION, AND AUDIT-READY MACHINE LEARNING FOR REAL-WORLD SYSTEMS (REAL-WORLD DATA SCIENCE WITH R)