does the kernel function make data linearly separable when using the kernel function the data is linearly separable how does kernel function make a data linearly separable does using a kernel function make data linearly separable? what makes svm linearly separable why use a soft matrix does using a kernel function make the data linearly separable? which function makes the data linearly separable in high space svm how to make data separable what is the difference between a kernel function and a soft matrix? what makes a data linearly separable does a kernel function make an image linearly separate what function will make a linear relationship separable with a data model when using a kernel function, do you have to make a data linearly separable what is soft margin and a kernel function why use a kernel does using a softmargin make the data linearly separable? does using a kernel function make the data linearly separable? why do you use a kernel function in svm if you use a kernel function will they make it linearly separable