Machine learning (ML) is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and techniques that enable computers to learn from data and make predictions or decisions without special programming. In other words, ML algorithms learn patterns and relationships from examples or past experiences and use that knowledge to make informed predictions or decisions based on new, unseen data. The basic principle of machine learning is that computers can learn from data and improve their performance over time by recognizing patterns and making predictions or decisions based on those patterns. ML algorithms are designed to automatically learn and adapt to data without being individually programmed for each specific task. This makes ML particularly useful in complex and data-rich domains where traditional rule-based programming methods may be difficult or impractical to apply. To better understand machine learning

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