Support Vector Machine (SVM) is a supervised machine learning algorithm primarily used for classification tasks, although it can be used for regression as well. It works by finding the hyperplane that best divides a dataset into classes.
SVM in Classification Tasks
The strength of SVM lies in its ability to handle non-linear data using kernel tricks and its effectiveness in high-dimensional spaces. It's widely used in areas like image classification, bioinformatics, and text categorization.
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.
Several people are typing about AI/ML security. Come join us and 1000+ others in a chat that’s thoroughly SFW.