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• Bias Reduction: Bias reduction refers to the process of minimizing the impact of biases in data and algorithms in order to improve the accuracy and fairness of machine learning models. Biases can arise from various sources such as data collection, algorith ... Read More >>
• Contingency Tables: Contingency tables are a statistical tool used in data science to display and analyze the relationship between two or more categorical variables. They are also known as cross-tabulation tables or crosstabs. Contingency tables display the fr ... Read More >>
• Algorithmic Adjustments: Algorithmic adjustments refer to the modifications made to an algorithm to improve its performance or accuracy. These adjustments can be made to various types of algorithms, including machine learning algorithms, optimization algorithms, an ... Read More >>