November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Drawing the line
A great way to describe the functional (or the practical) steps that a Support Vector Machine carries out in an effort to classify data might be to imagine that the SVMs are continuously endeavoring to find the line that best separates two classes of data points:
Here, the best line is defined as the line that results in the largest margin between the two classifications. The points that lie on this margin are the support vectors.
The great thing about acknowledging these (support) vectors is that we can then formulate the problem of finding the maximum-margin hyperplane (the line that best separates the two classes) as an ...
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