April 5, 2024, 9:16 a.m. | HarshTiwari1710

DEV Community dev.to

Imagine you're at a party separating people who love pizza (yum!) from those who...well, have questionable taste. In the world of machine learning, Support Vector Machines (SVMs) are like the ultimate party planner, using math to create a clear division between categories. But what's the secret sauce behind SVM's success? Let's dive into the math behind SVMs and explore a magical trick called the "kernel" that unlocks their true potential.





Linear Classification: The Straight Line Approach


At its core, SVM …

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