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

Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or…
Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering…
Cognitive Automation refers to the use of Artificial Intelligence (AI) and advanced algorithms to automate tasks that traditionally require human intelligence, such as decision-making…
Artificial Intelligence refers to computer systems designed to simulate human intelligence. With AI, machines can accomplish tasks that typically require human cognition, such as…