Introduction Machine learning (ML) encompasses a family of methods that learn patterns from data in order to make predictions, classify observations, or uncover structure. This document provides a concise foundation for understanding core ML concepts that apply across many algorithms, including variable types, encoding, scaling, distance functions, and model evaluation. These concepts form the basis […]
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