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Introduction to Machine Learning

Machine learning is the science of making computers learn patterns from data without explicit programming. It consists of three main types:

Supervised Learning: The model learns from labeled data (e.g., identifying spam emails).
Unsupervised Learning: The model identifies patterns in unlabeled data (e.g., customer segmentation).
Reinforcement Learning: The model learns by interacting with an environment and receiving feedback (e.g., training robots).
Popular algorithms include decision trees, support vector machines, and neural networks. Machine learning powers applications such as voice assistants, recommendation systems, and self-driving cars.