support vector machine

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Towards Data Science

Abbreviated as SVM, support vector machine learning algorithm is commonly used for classification problems. It gives us a better way to understand a non-linear decision boundary.

Support Vector Machines

Analytics Vidhya

“Support vector machine is a supervised machine learning algorithm that is mainly being used for classification purposes. In SVM algorithm an optimal hyperplane is generated which categorizes new…

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...

All About Support Vector Machine

Towards AI

This article will explore Support Vector Machine and try to answer the following question: * What is a Support Vector Machine? * What are the terminologies used in Support Vector Machine? * How does S...

Support Vector Machines: SVM

Analytics Vidhya

It is better if you first read about Linear Regression and Logistic Regression. If not please go and explore them (You can refer to following links for help). Support Vector Machines is a very…

Support Vector Machine (SVM)

Towards Data Science

Recently I got an opportunity to prepare a lecture on SVM for a group that had a mix of freshers and experienced people in data science. I prepared a lecture that involves basics and even an…

Statistical Learning: Support Vector Machine

Towards Data Science

Walk through Maximal Margin Classifier, Support Vector Classifier, and Support Vector Machine. Hands on Experience of Python in SVM for Text Classification in Natural Language Processing.

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 ......

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…...

ML Basics (Part-2): Support Vector Machines

Towards Data Science

What are SVMs and How to Formulate, Build, and Apply SVMs for Supervised Learning Continue reading on Towards Data Science

Machine Learning Algorithms: Support Vector Machines

Analytics Vidhya

In this third article of the Machine Learning algorithms series, I will be discussing the most popular supervised learning algorithm, Support Vector Machines. They can be used for both classification…...

Machine Learning Algorithms: Support Vector Machines

Python in Plain English

Classifying data is a common task in machine learning. For instance, let us assume a data point is to belong to one of two classes, and the goal is to determine which class a new data point will…