What is Support Vector Machines?

Understand maximum margin classifiers. Support Vector Machines is a intermediate machine learning algorithm used for finding optimal decision boundaries. Before learning Support Vector Machines, you should understand: convexity, linear-systems. Real-world applications include: Text classification, Image recognition, Bioinformatics. This builds on foundational concepts and requires some background knowledge.