AI algorithms are the foundation of artificial intelligence, enabling machines to learn, predict, and make decisions. These algorithms are categorized into supervised, unsupervised, and reinforcement learning. Supervised algorithms, like linear regression and decision trees, rely on labeled data, while unsupervised ones, such as clustering and dimensionality reduction, discover hidden patterns in unlabeled datasets. Reinforcement learning algorithms train models through trial and error to optimize outcomes. Applications include recommendation systems, fraud detection, and robotics. With constant advancements, AI algorithms continue to drive innovation, powering solutions that transform industries and everyday experiences.
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