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• Loss Function: In the context of machine learning, a loss function is a mathematical function that measures the difference between the predicted output and the actual output. It quantifies the error between the predicted and actual values of the output va ... Read More >>
• DBSCAN: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a clustering algorithm in data science that groups together points that are close to each other based on a density criterion. It is a non-parametric algorithm that does ... Read More >>
• Equity: In Data Science, equity refers to the fairness and impartiality in the development and deployment of algorithms and models. It involves ensuring that the outcomes of these algorithms and models do not discriminate against any particular gro ... Read More >>