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FIND-S algorithms final hypothesis will also be consistent with the negative examples provided the correct target concept is contained in H and provided the training examples are correct. Machine learning ML is the study of computer algorithms that can improve automatically through experience and by the use of data. Forex Trading Quotes Trading Quotes Forex Trading Quotes Become A Millionaire We will say that a learning algorithm is a consistent learner provided it outputs a hypothesis that commits zero errors over the. A learning algorithm is a consistent learner provided . For each hypothesis h H calculate the posterior probability. Bayes Theorem provides a direct method of calculating the. Every consistent learner outputs a MAP hypothesis if we assume a uniform prior probability distribution. H should have a low error rate on new examples drawn from the same distributionD. A learning algorithm that outputs a hypothesis that commits zero errors over the training examples