Probability
Browse all articles with this tag
Game Numerical Design
RPG formulas and growth curves, taming the idle exponential, elimination board structures, and pricing letter probabilities
Generative Systems
Cellular automata, Markov chains, and procedural generation
Numbers, Randomness, and Probability
IEEE 754, Monte Carlo, entropy, and prime stripes
Divination and Decisions
Probability in divination, dithering on the wheel
Deep Learning Notes-1: Polynomial Fitting, Probability Theory, and Information Theory Fundamentals
Deep Learning Notes-1, covering overfitting and underfitting, regularization, probability theory fundamentals (Bayes' theorem, Gaussian distribution, maximum likelihood estimation), and information theory (entropy and KL divergence). Corresponds to Chapters 1-2 of "Deep Learning: Foundations and Concepts".
Deep Learning Notes-2: Probability Distributions, Linear Regression, and the Bias-Variance Tradeoff
Deep Learning Notes-2, covering the Bernoulli distribution, multinomial distribution, multivariate Gaussian distribution, the probabilistic derivation of linear regression, decision theory, and the bias-variance tradeoff. Corresponds to Chapters 3-4 of "Deep Learning: Foundations and Concepts".