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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 205 - Developer Hegemony with Erik Dietrich
Dec 27

Dec 27 Episode 205 - Developer Hegemony with Erik Dietrich

Max Sklar
Guest Interview
Episode 204 - Free Speech, Moderation, and Censorship with Johnny Nelson
Dec 20

Dec 20 Episode 204 - Free Speech, Moderation, and Censorship with Johnny Nelson

Max Sklar
Guest Interview
Episode 203 - Iraq and Social Choice Theory
Dec 13

Dec 13 Episode 203 - Iraq and Social Choice Theory

Max Sklar
Cohost Discussion
Episode 202 - Tech Giants at their Saturation Points
Dec 6

Dec 6 Episode 202 - Tech Giants at their Saturation Points

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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