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Machine learning is a process of teaching computers to learn from experience by recognizing patterns and relationships from data. It involves components such as data, features, models, and algorithms. The process of machine learning includes data collection, pre-processing, feature extraction, model selection, training, and evaluation. The right model architecture is essential for successful machine learning, and there are various models such as decision trees, neural networks, and support vector machines, each suited for different problems.
