Support Vector Machine

https://scikit-learn.org/stable/modules/svm
Support Vector Machines 1 4 1 Classification SVC NuSVC and LinearSVC are classes capable of performing binary and multi class 1 4 2 Regression The method of Support Vector Classification can be extended to solve regression problems This 1 4 3 Density estimation novelty detection

https://www.geeksforgeeks.org/support-vector-machine-algorithm
Practice Video Support Vector Machine SVM is a powerful machine learning algorithm used for linear or nonlinear classification regression and even outlier detection tasks SVMs can be used for a variety of tasks such as text classification image classification spam detection handwriting identification gene expression analysis face

https://towardsdatascience.com/support-vector...
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

https://monkeylearn.com/blog/introduction-to...
A support vector machine SVM is a supervised machine learning model that uses classification algorithms for two group classification problems After giving an SVM model sets of labeled training data for each category they re able to categorize new text

https://www.ibm.com/topics/support-vector-machine
Support vector machine SVMs 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

https://www.sciencedirect.com/topics/neuroscience/support-vector-machine
Support Vector Machines SVMs are binary classifiers based on vector representations of training instances that find a hyperplane between two classes such that the distance margin between the closest training examples and the hyperplane is maximized From Encyclopedia of Language Linguistics Second Edition 2006 View all Topics

https://www.mathworks.com/discovery/support-vector-machine.html
A support vector machine SVM is a supervised learning algorithm used for many classification and regression problems including signal processing medical applications natural language processing and speech and image recognition

https://towardsdatascience.com/support-vector...
Support Vector Machine are perhaps one of the most popular and talked about machine learning algorithms They were extremely popular around the time they were developed in the 1990s and continue to be the go to method for a high performing algorithm with little tuning In this blog we will be mapping the various concepts of SVC Concepts

https://www.analyticsvidhya.com/blog/2021/10/...
Support Vector Machine abbreviated as SVM can be used for both regression and classification tasks but generally they work best in classification problems They were very famous around the time they were created during the 1990s and keep on being the go to method for a high performing algorithm with a little tuning