SVM and Multiclass Classification

This lecture introduces Support Vector Machines (SVM) and discusses the extension to multiclass classification. The instructor explains the concepts of one-vs-all and one-vs-one approaches for multiclass classification, detailing how multiple binary classifiers are trained to classify objects into multiple classes. The decision on which approach to use depends on the dataset size and the number of classes.