January 2018
Intermediate to advanced
268 pages
6h 20m
English
Content preview from OpenCV 3.x with Python By Example - Second Edition
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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:
As you can see, the points are being separated by line boundaries that are equidistant from the points. This is easy to visualize in two dimensions. If it were in three dimensions, the separators would be planes. ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.