AI algorithms are the backbone of intelligent systems, enabling machines to perform tasks that mimic human cognition. These algorithms fall into categories like supervised learning, unsupervised learning, reinforcement learning, and deep learning. Examples include decision trees for classification, clustering algorithms for data segmentation, and neural networks for complex pattern recognition. AI algorithms are used in applications ranging from fraud detection and speech recognition to autonomous vehicles and recommendation engines. Their continuous refinement drives innovation and enhances the capability of AI systems across industries.
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