A model is the mathematical representation produced after training an algorithm on data. It contains learned parameters that map inputs to predicted outputs. The dataset itself is not the model, hyperparameter tuning is a process rather than the result, and an endpoint is merely an infrastructure resource that hosts an already-built model for inference.
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Fundamentals of AI and ML
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