Theory of generalisation was put forward by
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Very commonly, ‘Generalization’ is given a narrow & objective definition of quantifying how well a certain Prediction algorithm is expected to predict on that specific prediction task in future or on unseen data.
This is already very useful and yields useful:
Theories like Statistic Learning Theory, VC Dimension
Concepts like Overfitting & how many Training samples are necessary for training a model
Practices like Train-Validation-Test splits
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Answer:
Charles judd gave theory of generalisation.
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