What is a Support Vector Machine? A support vector machine (SVM) is a supervised machine learning algorithm that finds the hyperplane that best separates data points of one class from those of another class
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SVMs are powerful for classification, especially in high-dimensional spaces, finding optimal decision boundaries.
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A Support Vector Machine is like a referee drawing the perfect line between rival teams so no one cheats. It doesn’t just draw any line—it finds the one with maximum fairness. Think of it as geometry with strong opinions and zero tolerance for blurry boundaries.
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