Demystifying Support Vector Machines (SVM): A Beginner’s Guide to Expert Understanding

Beginner: Hey there! I’ve been hearing a lot about Support Vector Machines lately, but honestly, I have no clue what they are. Can you break it down for me? Expert: Yeah Sure! In machine learning, Support Vector Machines (SVMs) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. Beginner: Can you explain how it actually works? Expert: Of course! Think of Support Vector Machines (SVM) as rockstar algorithms in the world of machine learning. They’re like superheroes that help us draw lines or curves in the sand to separate different things, like apples from oranges. Beginner: Wait, so they draw lines? How does that help? Expert: Great question! Imagine you have a bunch of data points, and you want to separate them into different groups, like ‘A’ and ‘B’. SVM finds the best possible line that keeps the ‘A’ points on one side and the ‘B’ points on the other. This line, or hyperplane, is like a magical barrier that keeps the groups apart. <a href="https://medium.com/@asjad_ali/demystifying-support-vector-machines-svm-a-beginners-guide-to-expert-understanding-d61f7f0878ff">Website</a>