AWS Certified AI Practitioner
Supervised, Unsupervised, and Reinforcement Learning
The three ways a model can learn: supervised learning from labeled examples, unsupervised learning from unlabeled data, and reinforcement learning from reward and penalty.
Beginner 16 minutes 4 Learning Objectives
- Explain supervised learning and its two main tasks, regression and classification
- Explain unsupervised learning and the clustering task
- Explain reinforcement learning through the agent, environment, and reward loop
- Match a problem to the right learning type based on the data available
