Pattern recognition (PR) is a branch of artificial intelligence and machine learning that focuses on identifying and extracting patterns in data. It is a technique that seeks to find regularities or structures in data that allow it to be classified or modeled more efficiently.
RP is used in a wide variety of applications, such as computer vision, speech processing, biomedical signal analysis, data mining, and fraud detection, among others. For example, in computer vision, RP is used to detect objects in images and videos, while in speech processing, it is used to recognize speech patterns and transform them into text.
The PR process generally involves extracting features from the data and applying machine learning algorithms to identify meaningful patterns in the data. These patterns can be used to classify new data or to create predictive models.
We often wonder where Big Data is applied and we can assume a great relevance of Big Data for business. This explains the great in [....]
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