Support Vector Machines (SVM) - the basics | simply explained
This video is intended for beginners
1. The equation of a straight line
2. The general form of a straight line (02:19)
3. The distance between a point and a line or between two lines (08:35)
4. The example data set (10:05)
5. How a SVM predicts new data (11:06)
6. The margin (13:25)
7. The classification (18:30)
8. How to maximize the margin (19:14)
9. The tuning parameter C (24:54)
10. How to evaluate the SVM (26:13)
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