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Exploring Prediction, Inference, and Generalization in Machine Learning
This chapter explores the key concepts of prediction, inference, and generalization in machine learning, highlighting how models make predictions based on training data and the importance of generalization in handling new data. It touches on terms like generalization performance and error, stressing the significance of managing these aspects for effective model evaluation.