Demystifying Machine Learning
Machine Learning (ML) is a branch of artificial intelligence focused on building systems that learn from data. Instead of writing explicit instructions to complete a task, we train models using datasets so they can identify patterns and make predictions. There are three core paradigms: Supervised Learning (training on labeled examples), Unsupervised Learning (finding hidden patterns in raw data), and Reinforcement Learning (learning through rewards and penalties in an interactive environment). Understanding these styles helps developers select the right tool for problems ranging from image classification to game-playing agents.
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