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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 164 - Anne Griffin on Attracting Employers and AI Product
Mar 29

Mar 29 Episode 164 - Anne Griffin on Attracting Employers and AI Product

Max Sklar
Guest Interview
Episode 163 - Flying Cars, Causality, and Digital Art Storage Concerns
Mar 22

Mar 22 Episode 163 - Flying Cars, Causality, and Digital Art Storage Concerns

Max Sklar
Cohost Discussion
Episode 162 - Assaf Lev: Cofounder and CEO of Locals
Mar 15

Mar 15 Episode 162 - Assaf Lev: Cofounder and CEO of Locals

Max Sklar
Guest Interview
Episode 161 - Fighting for Free Speech with Sam Jacobs
Mar 8

Mar 8 Episode 161 - Fighting for Free Speech with Sam Jacobs

Max Sklar
Guest Interview
Episode 160 - Digital Art, Tokens, and Rationalists
Mar 1

Mar 1 Episode 160 - Digital Art, Tokens, and Rationalists

Max Sklar
Solo Show

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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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