Types of Classification Algorithms : Part - 2 Support Vector Machine P1. An introduction

Hello Friends!!!

This is the third algorithm, here I am going to share the support vector machine one more classification algorithm there are more classification algorithms I recommend you to refer these articles Logistic Regression and Naive Bayes classifiers to get proper ideas about classification algorithms.

SVM is really a very simple algorithm that works more accurately with less computational work. Actually, the support vector machine is a model works on a supervised learning technique, it works on both regression and classification. And generally suitable for binary classification. SVM is used to separate N - Dim hyperplane. For Example, if we have labeled data such as an image is a cat or not a cat. Here, we have two different labels Cat and Not and SVM Separates these labels on a hyperplane.

Fig. SVM Separates Labels

The above figure shows that the SVM separates the 2D hyperplane. In the above example, we have two labels blue dots represent Cat label and the orange triangle represents Not a Cat label. And in the above figure, one can see the separation of two different labels.

So, That's it you can get easily what is the meaning of Support Vector Machine? In the next article, we will learn more about SVM.