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OpenCV with Python By Example by Prateek Joshi

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What are Support Vector Machines?

Support Vector Machines (SVM) are supervised learning models that are very popular in the realm of machine learning. SVMs are really good at analyzing labeled data and detecting patterns. Given a bunch of data points and the associated labels, SVMs will build the separating hyperplanes in the best possible way.

Wait a minute, what are "hyperplanes"? To understand that, let's consider the following figure:

What are Support Vector Machines?

As you can see, the points are being separated by line boundaries that are equidistant from the points. This is easy to visualize in 2 dimensions. If it were in 3 dimensions, the separators would be planes. When ...

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