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Machine learning (ML) refers to the study of methods or algorithms designed to learn the underlying patterns in the data and make predictions based on these patterns. A key characteristic of ML techniques is their ability to produce accurate out-of-sample predictions. We review two popular machine-learning methods – decision trees and Support Vector Machines (SVM) in detail.
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