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An Intuitive Introduction to Probability

by Karl Schmedders · University of Zurich

University of Zurich course taught by Karl Schmedders that builds probability from everyday examples: basic rules, conditional probability, applications, discrete random variables, and the normal distribution. Learners finish able to compute and interpret probabilities in practical decisions.

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Learn the fundamentals of probability with this introductory book by Blitzstein & Hwang. Perfect for statistics beginners!

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seeing-theory.brown.edu

Seeing Theory is an interactive, browser-based resource from Brown University that uses visual simulations to explain fundamental probability and statistics concepts. It offers interactive demos and explanations on topics like probability, distributions, sampling, the central limit theorem, confidence intervals, hypothesis testing, and Bayesian reasoning.

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Bayes Theorem, the geometry of changing beliefs

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Graduate introduction to the mathematics of information: entropy, lossless compression, binary hypothesis testing, channel coding and lossy compression. Provides 29 lecture note files that together form a textbook-length treatment, plus problem sets. Prepares you to state and prove the core coding theorems.

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