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Machine learning algorithms are mathematical models that allow computers to learn from data and make predictions or decisions. Key types include supervised learning (e.g., linear regression, decision trees),  best internet providers  unsupervised learning (e.g., k-means clustering, PCA), and reinforcement learning. These algorithms adjust based on data patterns, enabling tasks like classification, regression, and optimization, and are central to AI-driven applications.