October 2016
Intermediate to advanced
558 pages
12h 39m
English
Content preview from OpenCV: Computer Vision Projects with Python
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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 2 dimensions. If it were in 3 dimensions, the separators would be planes. When ...
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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.