👉 Pattern computing is a computational paradigm that focuses on the identification, manipulation, and transformation of patterns within data. It involves recognizing recurring structures or sequences in datasets, which can then be used to make predictions, classify data, or generate new information. This approach leverages algorithms and models that learn from examples, adapting to recognize complex patterns that might be difficult for traditional rule-based systems. Pattern computing is widely used in machine learning, data mining, and artificial intelligence applications, enabling systems to improve their performance over time by continuously learning from new data.
