This blog demystifies how the RBF kernel in SVM creates highly adaptive, local decision boundaries by emphasizing similarity between nearby points. You'll understand the role of gamma, how the kernel's geometry defines regions of influence, and why RBF enables powerful non-linear classification by implicitly mapping data into infinite-dimensional space.