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There's a close connection in between machine learning and compression. A procedure that predicts the posterior probabilities of the sequence specified its total history can be employed for optimum data compression (through the use of arithmetic coding to the output distribution). Characterizing the generalization of assorted learning algorithms can be https://www.pinterest.com/pin/ventura-it--731131320735923558/

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