Unsupervised learning is a type of machine learning that deals with unlabeled data. The goal is to model the underlying structure or distribution in the data to learn more about it, without any explicit instruction on what to predict.
Applications of Unsupervised Learning
Unsupervised learning is used for clustering, association, and dimensionality reduction tasks. Examples include customer segmentation in marketing, anomaly detection in network security, and reducing the number of features in a dataset while retaining important information.
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.