Machine Learning

overview

Summary

Machine learning is a field at the intersection of mathematics, statistics, and computer science focused on building models that learn patterns from data to make predictions, decisions, or discover structure without being explicitly programmed. Core ideas include representing data numerically, choosing model families, optimizing parameters to fit data, evaluating generalization to unseen data, and iteratively improving performance with better features, regularization, and validation. Applications range from image and speech recognition to recommendation systems, forecasting, and scientific discovery.