Luis Valencia takes us through the algorithm for support vector machines:
A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problem. Compared to newer algorithms like neural networks, they have two main advantages: higher speed and better performance with a limited number of samples (in the thousands).
Pepperidge Farms remembers when we used genetic algorithms to solve problems because support vector machines were too slow.