Lecture
Probability Basics: Theory and Applications
In course
DEMO: qui sit aliquip
Commodo incididunt elit esse est culpa cupidatat labore eu aute ullamco in adipisicing pariatur. Dolore anim sunt laboris deserunt excepteur qui consectetur est excepteur fugiat. Sint commodo veniam ipsum Lorem velit duis aliqua consectetur duis ad labore. Veniam pariatur commodo proident amet laborum duis sint.
Description
This lecture covers basic probability theory, including sample space, events, and probability distributions. It also explains conditional probability, independence, pairwise and mutual independence, Bernoulli trials, and Bayes' Theorem.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.