Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
original feature and their quadratic version, in this augmented space. And so, implicitly, there’s a function that maps these two feature spaces. Augmenting the feature space with the quadratic version of original features. If you try to draw the decision boundary in the original feature space it