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• Uncertainty: Uncertainty refers to the lack of knowledge or information about the future outcomes of a particular event or situation. In data science and artificial intelligence, uncertainty is a common issue that arises due to incomplete or noisy data, ... Read More >>
• Economic Evaluation: Economic evaluation is a process of identifying, measuring, and comparing the costs and consequences of different interventions or programs in order to inform decision-making. In the context of data science and artificial intelligence, econ ... Read More >>
• Weak Classifier: In machine learning, a weak classifier is a simple model that performs slightly better than random guessing. It is often used as a building block for more complex models in ensemble learning. Weak classifiers are trained on a subset of the ... Read More >>