Bias in Machine Learning – Examples & Solutions
Machine learning algorithms are often mistaken as objective analytics and decision-making solutions to human inefficiencies. Paradoxically, humans often make machine learning algorithms inefficient by way of biases. These biases include sample bias, reporting bias, prejudice bias, confirmation bias, group attribution bias, algorithm bias, measurement bias, recall bias, exclusion bias, and automation bias. Machine learning is …
