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What is the difference between inference and learning?

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Thank you for the A2A. The usage of the term learning and inference depends upon the field of study. Confusion usually arises when the words are used casually without reference to a particular field. read more

To summarize, the difference between inference and learning depends on the eye of the modeler. If you think like a statistician, then learning/parameter estimation is a type of inference. If you think like a traditional machine learning researcher, then learning is usually parameter estimation and inference is usually prediction. read more

The difference between inferring the values of latent variables for a certain data point, and learning a suitable model for the data. The difference between extracting variances (inference) and learning the invariances so as to be able to extract variances (by learning the dynamics of the input space/process/world). read more

I think there isn’t much of a difference (at least conceptually). Inference means estimating the values of some (usually hidden random) variable given some observation. This is usually in a PGM context. Prediction is usually in a supervised learning context where given some data point we predict (say for e.g.) some label y. read more

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