Web Reference: SVMs maximize the margin (Winston terminology: the ‘street’) around the separating hyperplane. The decision function is fully specified by a (usually very small) subset of training samples, the support vectors. General input/output for SVMs just like for neural nets, but for one important addition... ”An introduction to Support Vector Machines” by Cristianini and Shawe-Taylor is one. A large and diverse community work on them: from machine learning, optimization, statistics, neural networks, functional analysis, etc. Support Vector Machines (SVMs) are competing with Neural Networks as tools for solving pattern recognition problems. This tutorial assumes you are familiar with concepts of Linear Algebra, real analysis and also understand the working of neural networks and have some background in AI.
YouTube Excerpt: 2-Minute crash course on
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Support Vector Machine Algorithm Pdf Net Worth 2026: Salary, Income & Wealth Net Worth & Biography

Estimated Worth: $61M - $76M
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Last Updated: March 29, 2026
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