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What are the key concepts and applications of Support Vector Machines (SVMs) covered in this section of the course? https://academy.digilab.co.uk/course/the-kernel-trick-flexible-machine-learning/introducing-support-vector-machinesgoogle-cloud
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Support Vector Machines (SVMs) cover key concepts like classification, regression, hyperplanes, margins, kernel functions, and regularization. Applications include text and image classification, spam detection, handwriting identification, gene expression analysis, face detection, anomaly detection, and binary and multi-class classification. SVMs are a powerful tool for solving various machine learning tasks.