Inference and Learning – BigData

Given a statistical model and data, inference allow you to “infer” useful generalization (hypothesis). Probabilistic inference typically means calculating posterior distribution given the data. For example, presence of spider web (data/evidence) may increase the likelihood that no one has used that door for sometime (hypothesis). Learning, on the other hand, implies learning the connection between […]

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