Ravendracroma06 May, 2024Education
Machine learning algorithms are computational models that learn patterns from data to make predictions or decisions. Supervised learning algorithms, like linear regression and decision trees, use labeled examples to learn relationships between input features and target outputs. Unsupervised learning algorithms, such as k-means clustering and principal component analysis, identify patterns and structures in unlabeled data.
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