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This serves as a quick cheat-sheet for solving small Bayesian problems using a table.

Based in Sydney, Australia, Foundry is a blog by Rebecca Thao. Her posts explore modern architecture through photos and quotes by influential architects, engineers, and artists.
The Local Maximum Expand Your Perspective
Episode 99 - Tech Trends of the 2010s
Dec 30

Dec 30 Episode 99 - Tech Trends of the 2010s

Max Sklar
Cohost Discussion
Episode 98 - Bayesian Stats and Political Trends with Alexandre Andorra
Dec 23

Dec 23 Episode 98 - Bayesian Stats and Political Trends with Alexandre Andorra

Max Sklar
Guest Interview
Episode 97 - Classic Computer Science Problems with David Kopec
Dec 16

Dec 16 Episode 97 - Classic Computer Science Problems with David Kopec

Max Sklar
Guest Interview
Episode 96 - Climate Protests, Pascal’s Wager, and the Duplicitous Science Press
Dec 9

Dec 9 Episode 96 - Climate Protests, Pascal’s Wager, and the Duplicitous Science Press

Max Sklar
Solo Show
Episode 95 - Ideas and Inspiration from Gaming
Dec 2

Dec 2 Episode 95 - Ideas and Inspiration from Gaming

Max Sklar
Expert Panel

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Subscribe on iTunes | Soundcloud | Stitcher | Odysee | Locals

Get Max's Free Cheat-Sheet on Bayesian Inference

Just sign up for the email list to keep up with exciting developments, floating ideas, and new projects from Max and his guests.

Thank you for joining The Local Maximum email list!

Download your free Bayesian Inference Page

This serves as a quick cheat-sheet for solving small Bayesian problems using a table.

The “Local Maximum” is a mathematical term referring to a point at which one needs to step down in order to reach new heights. But people - not just points - can get caught in a local maximum. That's what happens when we've gone as far as we can through one strategy which has gone stale and need to search for new ideas. This podcast is about examining technology, engineering, and social trends by expanding perspectives and moving beyond the Local Maximum both for ourselves and our algorithms.

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