What is Support Vector Machines?

Skill Level:

Support Vector Machines (SVMs) are Machine Learning algorithms used for classification and regression tasks. SVMs create decision boundaries and maximise the margin between different classes of data. Businesses leverage SVMs for tasks like image classification, text categorisation, and time series analysis.

Other Definitions

Digital assistants, also known as Virtual Assistants or Chatbots, are AI-powered software applications that can engage in conversations and perform tasks on behalf of…
Humanoid Robots are advanced machines designed to resemble and interact with humans in a human-like manner. These robots are equipped with AI capabilities that…
Artificial General Intelligence refers to AI systems capable of understanding, learning, and performing any intellectual task as humans do. Although AGI remains aspirational, it…
Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or…