Bias and Fairness in Machine Learning: Striving for Equitable Models
Introduction In the realm of machine learning, the pursuit of equitable and fair models is critical. Bias can inadvertently seep into algorithms, leading to unfair outcomes. Understanding and addressing bias is essential to create more ethical and equitable machine learning models. Understanding Bias in Machine Learning 1. Types of Bias: Algorithmic Bias: Occurs when machine…
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