Pattern Recognition
Pattern recognition is the process of identifying patterns or regularities in data through the use of algorithms and statistical models. It involves the analysis of large datasets to identify underlying patterns and relationships, and the development of algorithms that can be used to classify new data based on these patterns. Pattern recognition is used in a wide range of applications, including image and speech recognition, natural language processing, and predictive analytics. It is a key component of many machine learning and artificial intelligence systems, and is essential for tasks such as anomaly detection, fraud detection, and predictive maintenance.
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