Machine learning can be subdivided into two paradigms, supervised learning and unsupervised learning. Supervised learning is implemented to classify data using algorithms like support vector machines ...

SVM or "Support Vector Machine" is a supervised machine learning algorithm, mostly used for classifcation purpose, also termed as SVC (Support Vector Classification). It supports both linear and non ...

Arbitrarily complex functions can be produced by combining a sufficient number of even simple nonlinear operations ().Deep learning has exploited this fact, using digital computers to simulate ever ...