Supervised, Unsupervised, and Reinforcement Learning: Understand the Differences and Key Applications
Machine learning (ML) is a powerful field that enables computers to learn from data without explicit programming. Within ML, there are three fundamental learning paradigms: supervised learning, unsupervised learning, and reinforcement learning. Understanding the distinctions between these approaches is crucial for choosing the right technique for a given problem and
