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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 125 - Why We Need the Electoral College with Tara Ross
Jun 29

Jun 29 Episode 125 - Why We Need the Electoral College with Tara Ross

Max Sklar
Guest Interview
Episode 124 - Socials in the Fact Checking Business
Jun 22

Jun 22 Episode 124 - Socials in the Fact Checking Business

Max Sklar
Cohost Discussion
Episode 123 - Everybody Lies with Seth Stephens-Davidowitz
Jun 15

Jun 15 Episode 123 - Everybody Lies with Seth Stephens-Davidowitz

Max Sklar
Guest Interview
Episode 122 - What are we going through?
Jun 8

Jun 8 Episode 122 - What are we going through?

Max Sklar
Solo Show
Episode 121 - The Tumultuous Week
Jun 1

Jun 1 Episode 121 - The Tumultuous Week

Max Sklar
Cohost Discussion

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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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