Support Vector Machine(SVM) and the multi-dimensional wizardry

Data Science|Machine Learning|Algorithms

Learn the magic behind the kernel functions in SVMs

Support Vector Machine (SVM) is a supervised learning algorithm used for regression, classification, and outlier detection, but is widely used for classification. The goal of SVM is to create a line or a hyperplane in an n-dimensional space that distinctly separates the data into classes.

Linear SVMs

Let’s understand this with an example. Suppose you have data points shown below and you need to classify the points into …

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