Algorithm, Step-by-step problem-solving procedure, Model, System that makes predictions from data, Training, Adjusting parameters using labeled examples, Inference, Using a trained model to predict, Dataset, Collection of examples for learning, Feature, Input variable used by a model, Label, Correct output for a training example, Overfitting, Learns noise, performs poorly on new, Regularization, Technique to reduce overfitting risk, Hyperparameter, Setting chosen before training begins

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