Machine Learning Online Classes

Ravendracroma28 May, 2024Education

Bias in machine learning refers to the systematic errors made by algorithms due to skewed or incomplete training data, societal prejudices, or flawed assumptions. To prevent bias, employ diverse datasets representative of the target population, thoroughly analyze data for imbalance or unfairness, and regularly audit models for discriminatory outcomes.