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  2. www.geeksforgeeks.org › introduction-to-supportIntroduction to Support Vector Machines (SVM) - GeeksforGeeks

    Feb 2, 2023 · What are Support Vector Machines? Support Vector Machine (SVM) is a relatively simple Supervised Machine Learning Algorithm used for classification and/or regression. It is more preferred for classification but is sometimes very useful for regression as well.

  3. www.geeksforgeeks.org › support-vector-machineSupport Vector Machine (SVM) Algorithm - GeeksforGeeks

    Jul 4, 2024 · Support Vector Machine (SVM) is a powerful machine learning algorithm used for linear or nonlinear classification, regression, and even outlier detection tasks.

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    • Support Vector Machines (SVM) | LearnOpenCV
    • What is a Support Vector Machine? - Datatron
    • Introduction To SVM - Support Vector Machine Algorithm in Machine Learning

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  5. www.ibm.com › topics › support-vector-machineWhat Is Support Vector Machine? - IBM

    Dec 27, 2023 · A support vector machine (SVM) is a supervised machine learning algorithm that classifies data by finding an optimal line or hyperplane that maximizes the distance between each class in an N-dimensional space.

  6. www.techtarget.com › support-vector-machine-SVMWhat is a support vector machine? | Definition from WhatIs

    A support vector machine (SVM) is a type of supervised learning algorithm used in machine learning to solve classification and regression tasks; SVMs are particularly good at solving binary classification problems, which require classifying the elements of a data set into two groups.

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  8. en.wikipedia.org › wiki › Support_vector_machineSupport vector machine - Wikipedia

    In machine learning, support vector machines (SVMs, also support vector networks [1]) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis.

  9. towardsdatascience.com › support-vector-machineSupport Vector Machine — Introduction to Machine Learning ...

    Jun 7, 2018 · Support Vectors. Support vectors are data points that are closer to the hyperplane and influence the position and orientation of the hyperplane. Using these support vectors, we maximize the margin of the classifier. Deleting the support vectors will change the position of the hyperplane. These are the points that help us build our SVM.

  10. towardsdatascience.com › support-vector-machineSupport Vector Machine Explained. Theory, Implementation, and ...

    Jul 30, 2019 · Support Vector Machine (SVM) is probably one of the most popular ML algorithms used by data scientists. SVM is powerful, easy to explain, and generalizes well in many cases. In this article, I’ll explain the rationales behind SVM and show the implementation in Python. For simplicity, I’ll focus on binary classification problems in this article.