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Machine Learning algorithm learns from experience E concerning some kind of task T and performance measurement P. If its task T in that performance is measured by P, enhance with experience E. Let’s consider an example Of a Machine Learning algorithm that is also used to play chess. Then, experience E is playing many chess games, task T is playing chess with many players, and the performance measure P is the probability that the algorithm will win.