Support Vector Machine: Machine Learning

Unlike many other algorithm, SVM works in an unique way. As we all know, if we want to train a classification model to distinguish between apples and pears, most of the algorithms go by seeing which category has the most apples, and which has the most pears. Then, classify a new object to the category that it belongs to. However, for SVM, for it to distinguish between apples and pears, it goes by looking for the apples that look very much like oranges, and vice versa. Then, SVM will pick the one that looks the most like the oppositie.