Something you don't know about the Support Vector Machine(SVM) is here | Full Mathematics Intuition| Machine Learning | Data Science
Something you don't know about the Support Vector Machine(SVM) is here. Photo by Liam Tucker on Unsplash Key Terms: Hyperplane: A hyperplane is a flat subspace of (n-1) dimension in an " n " dimension space. For a 2D plane, hyperplane will be of 1D means a line. For 3D space, the hyperplane plane will consist of 2D, means a flat plane and furthermore dimensions can't visualise but it can be on paper. Let's have a look at how it is. The equation for hyperplane in two dimensional ( 2D ) is as follow: β0 + β1X1 + β2X2 = 0 ... (i) This as simple as the equation of a line, right? Because this hyperplane is actually a line. But in case of the higher dimensional plane, we have a generalised equation for the n-dimensional plane... β0 + β1X1 + β2X2 + ... + βnXn = 0 ... (ii) Again if the point is in this n-dimensional space then only be the equations ( (i) & (ii) ) are equal to 0 if the point X is lying on the hyperplane. But if......