
Member-only story
Data Science, Editorial, Machine Learning
Support Vector Machine (SVM) Introduction — Machine Learning
An introduction to support vector machines (SVM) in machine learning, and their role in supervised ML with examples
Author(s): Sujan Shirol, Roberto Iriondo
SVM stands for support vector machine, and although it can solve both classification and regression problems, it is mainly used for classification problems in machine learning (ML). SVM models help us classify new data points based on previously classified similar data, making it is a supervised machine learning technique. The companion resources to this article can be found either on Google Colab or Github.
What is Classification in Machine Learning?
Classification is a supervised ML task that requires machine learning algorithms that learn how to assign a class label to examples from a problem domain. An easy-to-understand example is classifying emails…