Explore 3 AI terms in Support Vector Machines
Kernelized SVM is an advanced machine learning technique that classifies data by transforming it into higher dimensions.
A machine learning method that uses least squares for training support vector machines.
A Linear Kernel is a function used in machine learning algorithms to classify data by computing the inner product of vectors.