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Support Vector Machines

Analytics Vidhya

In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. Given a set of…

1.4. Support Vector Machines

Scikit-learn User Guide

Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection. The advantages of support vector machines are: Effective in high ......

The Basics: Support Vector Machines

Towards Data Science

Support vector machines are a type of machine learning model used for classification that has proven to be very popular since their wider introduction in the ’90s. Somewhat confusingly, the names…

SUPPORT VECTOR MACHINES(SVM)

Towards Data Science

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…...

In-Depth: Support Vector Machines

Python Data Science Handbook

Support vector machines (SVMs) are a particularly powerful and flexible class of supervised algorithms for both classification and regression. In this section, we will develop the intuition behind sup...

Supporting the Math Behind Supporting Vector Machines!

Towards AI

Support Vector Machines

Codecademy

Support Vector Machines (SVMs) are a supervised learning algorithm excelling at classification tasks. They work by finding the optimal hyperplane that maximizes the margin between different classes in...

Support Vector Machines (SVM)- The vectors that ensure better highways

Analytics Vidhya

Support Vector Machines(SVM) or Networks(SVN) are the family members of algorithms under Supervised learning that analyze data for classification and regression problems. The term ‘Support vectors’…

Support Vector Machines Explained

Python in Plain English

Support Vector machines are a common supervised machine learning algorithm used in both classification and regression problems, however are most commonly used for classification which will be the…

What is a vector?

Analytics Vidhya

Vectors are a foundational element of linear algebra. A vector is a tuple of one or more values called scalars. Vectors are used throughout the field of machine learning in the description of…

Support Vector Machines — Thinking like vectors!

Analytics Vidhya

Support vector machines work well in high dimensional space with clear margin or separation thus thinking like vectors. Support Vector Machine(SVM) is a supervised non-linear machine learning…

A Gentle Introduction to Vectors for Machine Learning

Machine Learning Mastery

Last Updated on October 17, 2021 Vectors are a foundational element of linear algebra. Vectors are used throughout the field of machine learning in the description of algorithms and processes such as ...