Title: Describe supervised, unsupervised, and reinforcement learning.
Course: Artificial Intelligence, Advanced (SCED COMING_SOON) > Section: Examining Learning Paradigms

Description should include the concepts that

- in supervised learning, a model is trained on labeled data to learn the relationship between input and known outputs
- in unsupervised learning, the patterns and groupings in data are learned without preassigned labels
- in reinforcement learning, the model is trained by repeated interactions with an environment using rewards and penalties to shape behavior over time (e.g., playing chess against a computer).

Teacher Resources:

- Supervised vs. Unsupervised Learning: Understanding Their Applications, Pros, and Cons, Medium
- What’s the Difference Between Supervised and Unsupervised Learning?, Amazon Web Services (AWS)
- What is Reinforcement Learning?, AWS