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What is Ensemble Learning?

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Ensemble Learning involves combining multiple Machine Learning models to achieve superior performance and accuracy. By leveraging the “wisdom of the crowd,” Ensemble Learning mitigates the drawbacks of individual models and delivers more robust and reliable predictions.

Other Definitions

Graph Neural Networks

Graph Neural Networks are machine learning models designed to handle data structured as graphs. They can capture relationships and dependencies between entities and perform…

Transfer Learning

Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…

Synthetic Data

Synthetic Data is artificially generated data that mimics real-world data. Synthetic data can be used to train Machine Learning models when real data is…

Object Detection

Object Detection is an AI technique that identifies and localises objects within an image or video. It involves analysing the visual data and assigning…
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