Support Vector Machine (SVM)

Understand Support Vector Machine (SVM) by improving a simple classifier model

In this tutorial, we will start off with a simple classifier model and extend and improve it to ultimately arrive at what is referred to a support vector machine (SVM) which is a powerful Machine Learning model.

Machine Learning (ML)

Applications of Support Vector Machines (SVM)

Support Vector Machine (SVM) is a important ML model with several applications like Image-based analysis and classification tasks, Geo-spatial data-based applications, Text-based applications, Computational biology, Security-based applications and Chaotic systems control.

Machine Learning (ML)

Understanding Support Vector Machines (SVMs) in depth

Support vector machines (SVMs) are a particularly powerful and flexible class of supervised algorithms for both classification and regression.