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• Regularization: Regularization is a technique used in machine learning to prevent overfitting and improve the generalization of the model. It involves adding a penalty term to the loss function that the model is trying to optimize. This penalty term discou ... Read More >>
• Entity Recognition: Entity recognition is a natural language processing task that involves identifying and classifying named entities in unstructured text into predefined categories such as person names, organizations, locations, medical codes, time expression ... Read More >>
• Bandwidth: In Data Science, bandwidth refers to the range of values or distance around a data point that is used to calculate a kernel density estimate. It is a parameter that determines the smoothness of the resulting density estimate. A larger bandw ... Read More >>