Machine learning (ML) is a critical field in modern technology, enabling systems to learn patterns from data and make predictions or decisions without explicit programming. Unlike traditional programming (Rules + Data → Output), ML uses Data + Labels → ML Algorithm → Model to create predictive capabilities. A typical ML workflow involves data collection, cleaning, exploratory analysis, feature engineering, model selection, training, evaluation, and ongoing monitoring for improvement.
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