Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
case of perfectly linearly separable data in the last section. Real-world data is, however, typically messy. You will almost always have a few instances that a linear classifier can’t get right. Here’s an example of such data: Clearly, if we are using a linear classifier, we are never going to be