Bagging & Operational Assistance
Bagging is an ensemble learning technique that involves training multiple models on different subsets of the training data and combining their predictions. It reduces variance, improves accuracy, and enhances robustness by averaging or voting on the predictions of these models.
Operational assistance involves optimizing processes, managing resources efficiently, integrating technology, providing training, monitoring performance, and managing risks to ensure smooth and efficient operations within an organization. It focuses on enhancing productivity, reliability, and performance in day-to-day activities.
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