May 2018
Beginner
490 pages
13h 16m
English
A support vector machine (SVM) classifies data by transforming it into higher dimensions. It will then classify data into two classes, for example.
In the following example, the SVM will be used to separate risky driving locations from safer driving locations:

The example in the code is random (as in real-life traffic) but the model can be developed much further.
Safety is the key to this model, so each driving location (road, crossing) possesses features related to this goal:
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