Part 6/12:
- Reinforcement Learning: This functions similarly to the trial-and-error process humans experience. AI receives feedback from its actions and learns to optimize its decisions over time—an essential capability in robotics or game-playing.
These diverse learning approaches highlight that AI can learn from data like humans while also facing inherent limitations. Traditional programming lacks the flexibility to adapt to new contexts, while machine learning thrives on exploratory data encounters.