Which learning paradigm does not require labeled data and finds hidden patterns in the data?
- Reinforcement Learning
- Semi-supervised Learning
- Supervised Learning
- Unsupervised Learning
Unsupervised Learning does not require labeled data and works by finding hidden patterns and structures in the data.
Loading...
Related Quiz
- What is Polynomial Regression in the context of Machine Learning?
- Imagine a game where an AI-controlled character can either gather resources or fight enemies. If the AI consistently chooses actions that provide immediate rewards without considering long-term strategy, which component of the Actor-Critic model might need adjustment?
- Which type of machine learning is primarily concerned...
- In the context of DBSCAN, if two core points are within the Epsilon distance of each other, they are said to be __________.
- The ability of an individual or a group to understand and trust the model's decisions is often tied to the model's ________.