Public Health Surveillance

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• Model Parameters: In the context of data science and artificial intelligence, model parameters refer to the values that are learned by a machine learning algorithm during the training process. These values are used to make predictions on new data. Model para ... Read More >>
• Validation: Validation is the process of evaluating a machine learning model's performance on an independent dataset. It is a crucial step in the model development process as it helps to ensure that the model is not overfitting to the training data and ... Read More >>
• Methodology: Methodology refers to the systematic, theoretical analysis of the methods applied to a field of study. In the context of data science and artificial intelligence, methodology refers to the process of developing and applying a set of procedu ... Read More >>