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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

Convolutional Neural Network

A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image…

Multimodal Learning

Multi-Modal learning refers to AI models that learn from multiple sources of data, such as text, images, and audio. By incorporating information from multiple…

Hyperparameters

Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…

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…
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