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#generalization

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01 ·Probability & Statistics·★ MEMBER·PAPER·11 min read Statistical Learning Theory — Why Does Learning Generalize? You only ever see finitely many examples, yet the model answers questions about data it has never seen. This piece builds the guarantee from scratch — Hoeffding, uniform convergence, VC dimension, PAC — then shows where it broke against deep learning, and what survives in day-to-day evaluation design. 02 ·Machine Learning Basics·FREE·6 min read What Machine Learning Really Is — Understanding “Learning” Without the Math What actually separates writing a program from training a model. Rules versus examples, memorization versus generalization, and a map of supervised, unsupervised, and reinforcement learning — with almost no math.