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Can anyone explain Pattern Recognition in Artificial Intelligence?

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Pattern Recognition in Artificial Intelligence is recognizing the underlying patterns of the data while training the model. The knowledge gained from pattern recognition can be used to predict the result of the new data. Pattern recognition helps in computer vision, voice recognition, fingerprint identification, face recognition, end.

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As the name suggests pattern recognition is the ability to understand the characteristics of arrangements of things or entities in a dataset or a system. In the context of AI, a pattern is considered to be a recurring sequence of data that can be effectively used to perform trend analysis. The frequent combination of words, identification of objects in images, and understanding phrases in NLP uses pattern recognition as the foundational concept to work. With Artificial Intelligence, pattern recognition is mainly seen in the fields of Big Data Analytics, Biometric Identification Systems, and various other security-driven products. Facial recognition is also a part of pattern recognition as it uses certain abilities to understand the characteristics of a person's face. This is done by making use of several algorithms to match the characteristics of data present on a database. IT can be said that pattern recognition has revolutionized the use of AI.

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