Machine learning algorithms are divided into supervised learning, which uses labeled data to predict outcomes (e.g., linear regression, SVM), and unsupervised learning, which finds patterns in unlabeled data (e.g., k-means clustering, PCA).
☆14Sep 29, 2024Updated 2 years ago
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