Supervised learning is the workhorse of modern machine learning, powering everything from spam filters to self-driving cars. It’s a technique where algorithms learn from a labeled dataset, enabling them to predict outcomes for new, unseen data. This guide will delve into the core concepts, methodologies, and practical applications of supervised learning, providing a comprehensive overview for both beginners and experienced practitioners. What is Supervised Learning? Definition and Core Concepts Supervised learning is a machine learning paradigm that involves training a model on a labeled dataset. This means that each data point in the training set is tagged with the correct output or target variable. The algorithm learns a mapping function that approximates the relationship between the inp...