Empirically, running times of state-of-the-art SVM learning algorithms scale approximately quadratically, which means that when you give the SVM twice as much data, it requires four times as long ...

Machine learning is a branch of artificial intelligence ... and Support Vector Machine (SVM). You can also use ensemble methods (combinations of models), such as Random Forest, other Bagging ...

In supervised learning, a set of input variables, such as blood metabolite or gene expression levels, are used to predict a quantitative response variable like hormone level or a qualitative one ...