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This lecture introduces the Support Vector Machine (SVM) and its history, highlighting its application in various fields such as computer vision, bioinformatics, and finance. The instructor explains the construction of a projection and the concept of linear classifiers, focusing on defining the separating hyperplane and classifier margin.