January 2019
Intermediate to advanced
294 pages
6h 43m
English
Content preview from Machine Learning Quick Reference
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Support vector
We draw two boundary lines passing through feature vectors of one class closest to the feature vectors of another class. The center line of these boundary lines is the hyperplane we have been talking about. For example, for Class B, a boundary line is passing through p and q along the way and another boundary line through r and s because p and q are the closest to the feature vectors of Class B and so are r and s. These are called support vectors. We will understand now why these are called support vectors:
Let's say that if we try to remove one of the feature vectors that is not so close to the boundary line, we will not have ...
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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.