68: LOL!!! SO RANDOM (Random Variables)

The world is often uncertain, but it has only been in the last half millennium that we've found ways to interact mathematically with that concept. From its roots in death statistics, insurance, and gambling to modern Bayesian networks and machine learning, we've seen immense productivity in this field. Every way of looking at probability has something in common: the use of random variables. Random variables let us talk about events with uncertain outcomes in a concrete way. So what are random variables? How are they defined? And how do they interact? All of this, and more, on this episode of Breaking Math. Interact with the hosts: @SciPodSofia @TechPodGabe Or the guest: @KampPodMillie Patreon here: patreon.com/breakingmathpodcast Featuring music by Elliot Smith. For info about music used in ads, which are inserted dynamically, contact us at breakingmathpodcast@gmail.com [Featuring: Sofía Baca, Gabriel Hesch; Millicent Oriana]

Om Podcasten

Hosted by Gabriel Hesch and Autumn Phaneuf, who have advanced degrees in electrical engineering and industrial engineering/operations research respectively, come together to discuss mathematics as a pure field all in its own as well as how it describes the language of science, engineering, and even creativity.   Breaking Math brings you the absolute best in interdisciplinary science discussions -  bringing together experts in varying fields including artificial intelligence, neuroscience, evolutionary biology, physics, chemistry and materials-science, and more -  to discuss where humanity is headed. website:  breakingmath.io  linktree:  linktree.com/breakingmathmedia email:  breakingmathpodcast@gmail.com