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Statistical Machine Learning

The three cornerstones: 1. Data: The observed data becomes useful when we have extracted knowledge from it. 2. Model: A mathematical model is a compact representation (set of assumptions) of the data that in precise mathematical form captures the key properties of the underlying system. 3. Inference algorithm: The inference algorithms allows us to learn, or infer, model specific variables from data for any given model.