Ensemble Learning
In statistics and machine learning, ensemble methods use multiple models to obtain better predictive performance than could be obtained from any of the constituent models. Unlike a statistical ensemble in statistical mechanics, which is usually infinite, a machine learning ensemble refers only to a concrete finite set of alternative models.
Read more about Ensemble Learning: Overview, Ensemble Theory
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“What terrible questions we are learning to ask! The former men believed in magic, by which temples, cities, and men were swallowed up, and all trace of them gone. We are coming on the secret of a magic which sweeps out of men’s minds all vestige of theism and beliefs which they and their fathers held and were framed upon.”
—Ralph Waldo Emerson (1803–1882)