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What is Support Vector Machines Course Overview about?

Support Vector Machines (SVM) are supervised machine learning algorithms used for classification and regression, capable of handling both linear and non-linear data through techniques like the kernel trick. SVMs create optimal decision boundaries based on support vectors, with the ability to manage high-dimensional data and small datasets effectively, while also being robust to noise. However, SVMs can be computationally expensive, sensitive to parameter choices, and their performance heavily relies on the

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aakash626273

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