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Machine learning is an important field of artificial intelligence in which models are generated by extracting rules and functions from large datasets. Machine learning includes a diversity of methods and algorithms such as decision trees, lazy learning, k-nearest neighbors, Bayesian methods, Gaussian processes, artificial neural networks, support vector machines, kernel algorithms, and Artificial Immune Systems (AIS). AIS are computation tools that emulate processes and mechanisms of the biological immune system. AIS use the learning, memory, and optimization capabilities of the immune system to develop computational algorithms for function optimization, pattern recognition, novelty detection, and process control, and classification.
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