There's a near relationship between machine learning and compression. A technique that predicts the posterior probabilities of the sequence specified its entire record can be used for optimal data compression (by using arithmetic coding around the output distribution). An example of Gaussian Procedure Regression (prediction) in contrast with other regression https://uxuidesign74950.buyoutblog.com/26843442/the-ultimate-guide-to-big-data