Support Vector Machine: Revision history

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3 November 2024

  • curprev 21:2921:29, 3 November 2024‎ 핵톤 talk contribs‎ 4,198 bytes +4,198‎ Created page with "'''Support Vector Machine (SVM)''' is a powerful supervised machine learning algorithm used for both classification and regression tasks, though it is primarily used in classification. SVM works by finding the optimal boundary, or hyperplane, that best separates the data points of different classes. SVM is effective in high-dimensional spaces and is especially suitable for binary classification problems. ==How It Works== SVM aims to maximize the margin between data point..." Tag: Visual edit
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