July 2018
Beginner to intermediate
146 pages
3h 39m
English
The support vector machine is one of the most popular classification algorithms used in the industry. It takes in an n-dimensional dataset as input and constructs an (n-1) dimensional hyperplane in such a way that there is maximum separation of classes.
Consider the visualization of a binary dataset in the following screenshot:

The preceding graph shows three possible hyperplanes (the straight lines) that separate the two classes. However, the solid line is the one with the maximum margin. In other words, it is the hyperplane that maximally separates the two classes. Also, it divides the entire plane into two regions. ...
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