Support vector machines (SVMs) are a set of supervised learning methods used for

The correct answer is A. Linear classification B. Non-linear classification C. Regression. In machine learning, support vector machines (SVMs). also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns^ used for classification and regression analysis. In addition to performing linear…

Machine Learning Fundamentals

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ALinear classification
BNon-linear classification
CRegression

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A
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In machine learning, support vector machines (SVMs). also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns^ used for classification and regression analysis. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel tricky implicitly mapping their inputs into high-dimensional feature spaces.

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#SVM#supervised learning#classification#regression

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