4. Although Support Vector Machines were proposed in 1963 by Vladimir Vapnik, they could find very little use in machine learning literature until the Kernel Trick was proposed in 1992 by Boser, Guyon and Vapnik. Please explain the kernel trick verbally in detail. 5. What is the purpose of using slack variables in SVM training? Please compare the use of slack variables against training a more sophisticated classifier which can classify the training samples perfectly. Please provide a discussion