Model (in machine learning)

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In the realm of machine learning, a model is a conceptualization of real-world phenomena that has been simplified for practical purposes. By utilizing a learning algorithm, a statistical model can be optimized to generalize the training data. The model, in turn, can be utilized to process new data and calculate a function. Decision trees, regression curves, and artificial neural networks are all examples of popular model types.

https://link.springer.com/content/pdf/10.1007/978-3-030-93975-5.pdf external-link

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