October 2015
Intermediate to advanced
230 pages
5h 10m
English
Content preview from OpenCV with Python Blueprints
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Support Vector Machine
A Support Vector Machine (SVM) is a learner for binary classification (and regression) that tries to separate examples from the two different class labels with a decision boundary that maximizes the margin between the two classes.
Let's return to our example of positive and negative data samples, each of which has exactly two features (x and y) and two possible decision boundaries, as follows:
Both of these decision boundaries get the job done. They partition all the samples of positives and negatives with zero misclassifications. However, one of them seems intuitively better. How can we quantify "better" and thus learn the ...
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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.