July 2017
Intermediate to advanced
360 pages
8h 26m
English
Content preview from Machine Learning Algorithms
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Linear support vector machines
Let's consider a dataset of feature vectors we want to classify:
For simplicity, we assume it as a binary classification (in all the other cases, it's possible to use automatically the one-versus-all strategy) and we set our class labels as -1 and 1:
Our goal is to find the best separating hyperplane, for which the equation is:
In the following figure, there's a bidimensional representation of such a hyperplane: ...
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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.