#>reasoning_under_uncertainty
events
distributions
bayes
Math / Building Blocks
Reasoning Under Uncertainty
Probability gives uncertainty a number. An event has a probability between 0 and 1; a distribution describes how likely every outcome is; conditional probability asks how likely something is once you know something else, which is the heart of Bayes' rule. Statistics runs probability backwards: from the data you observed to what probably produced it.
Probability Essentials
Seeing Theory
A visual introduction to probability and statistics from Brown University.
seeing theoryA complete course
Harvard's Stat 110, lectures and problems free online.
harvard: stat 110Updating on evidence
Bayes' theorem, with worked examples.
wiki: Bayes