Machine Learning (ML)
Technical Definition
Machine Learning (ML) is a subset of AI that allows systems to learn from data, identify patterns, and make decisions with minimal human intervention. ML algorithms can be categorized into three main types: supervised learning (trained on labeled data), unsupervised learning (finds hidden patterns in unlabeled data), and reinforcement learning (learns from feedback/rewards). Over time, the system's performance improves as it processes more data. Key algorithms include decision trees, support vector machines (SVM), and neural networks.
Real-World Applications
Email spam filters, like those used in Gmail, apply machine learning to recognize patterns in spam emails and automatically move them to the spam folder. ML also powers image recognition systems in apps like Google Photos, which can sort images based on content (e.g., beaches, mountains, people).
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