Explain the SVM algorithm in detail?
Support vector machines (SVMs) are supervised machine learning algorithms used for both classification and regression. It's also known as a regression problem and works well for classification. The goal of the SVM algorithm is to find a hyperplane in the N-dimensional space that uniquely classifies the data points. SVMs are used in applications such as handwriting recognition, intrusion detection, facial recognition, email classification, genetic classification, and websites.
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BY Best Interview Question ON 30 Dec 2023