https://arshadhs.github.io/tags/svm/Recent content in SVM on Arshad SiddiquiHugoen-ushttps://arshadhs.github.io/docs/ai/machine-learning/07-support-vector-machines/Mon, 01 Jan 0001 00:00:00 +0000https://arshadhs.github.io/docs/ai/machine-learning/07-support-vector-machines/<h1 id="support-vector-machine-svm"> Support Vector Machine (SVM) <a class="anchor" href="#support-vector-machine-svm">#</a> </h1> <p>A <strong>Support Vector Machine (SVM)</strong> is a <strong>supervised machine learning algorithm</strong> used for:</p> <ul> <li><strong>Classification</strong> (most common)</li> <li><strong>Regression</strong> (SVR – Support Vector Regression)</li> </ul> <blockquote class='book-hint '> <p>Find the decision boundary that separates classes with the <strong>maximum margin</strong>.</p> </blockquote><blockquote class="book-hint default"> <p>A Support Vector Machine is a supervised learning algorithm that finds an optimal hyperplane by maximising the margin between classes, using support vectors and kernel functions to handle non-linear data.</p>