Exploring machine learning and its common models 

Machine learning is a branch of artificial intelligence that enables computers to learn from data and make decisions without explicit programming. Common models include linear regression for predicting continuous values, decision trees for classification and regression tasks, support vector machines (SVM) for classification, and neural networks, which are powerful for complex pattern recognition tasks like image and speech recognition. These models analyze input data to recognize patterns and make predictions or decisions based on new data.
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