Support vector machine (SVM) : theory.

Dr. Chirag Shah, PhD, explains the basics behind support vector machines, including the creation of linear and nonlinear hyper-planes to separate data points, support vector classifiers, soft-margin classifiers, and finally using kernels to classify data non-linearly.

Bibliographic Details

Other Authors:	Shah, Chirag (Speaker)
Format:	Video
Language:	English
Language Notes:	Closed-captions in English.
Published:	Somerset : Chirag Shah, 2018.
Series:	Machine Learning for Data Science ; 20.
Subjects:	Support vector machines. Regression analysis. Machines à vecteurs supports. Analyse de régression. Regression analysis Support vector machines
Online Access:	Connect to this streaming video