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
  1. Explain supervised learning and its two main tasks, regression and classification
  2. Explain unsupervised learning and the clustering task
  3. Explain reinforcement learning through the agent, environment, and reward loop
  4. Match a problem to the right learning type based on the data available