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With what is the category of ML algorithms that recognize patterns in data? Explain with an example.​

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Pattern recognition is the process of recognizing patterns by using machine learning algorithm. In classification, an appropriate class label is assigned to a pattern based on an abstraction that is generated using a set of training patterns or domain knowledge. Classification is used in supervised learning. An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of classes (for example, determine whether a given email is "spam" or "non-spam"). However, pattern recognition is a more general problem that encompasses other types of output as well.

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Leslie Mason
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