Pattern recognition is used for similarities between concepts or problems in an algorithm.
What is meant by pattern recognition?
Pattern recognition is a data analysis method that uses machine learning algorithms to automatically recognize patterns and regularities in data. This data can be anything from text and images to sounds or other definable qualities. Pattern recognition systems can recognize familiar patterns quickly and accurately.
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").
Therefore, Pattern recognition is used.
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If someone who wants to
acquire a compact disc (CD) has just sufficient money to buy one, and chooses
CD a instead of CD b, then CD B is the opportunity cost.
To add, opportunity cost. <span>the loss
of potential gain from other alternatives when one alternative is chosen.</span>
Input, output, dan prosess
Google docs and save it there. hope this helps. thanks
