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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 20 - Imperfect Bots, Marketplaces, and the AI Economy
Jun 27

Jun 27 Episode 20 - Imperfect Bots, Marketplaces, and the AI Economy

Max Sklar
Cohost Discussion
Episode 19 - Information Theory with @kronosapiens, Horse Racing, and Fractional Bits
Jun 19

Jun 19 Episode 19 - Information Theory with @kronosapiens, Horse Racing, and Fractional Bits

Max Sklar
Guest Interview
Episode 18 - AI Gone Psychopathic, Embellishment vs Fact
Jun 12

Jun 12 Episode 18 - AI Gone Psychopathic, Embellishment vs Fact

Max Sklar
Cohost Discussion
Episode 17 - Comedy and Big Data Mixed Up with @robbiethefire
Jun 5

Jun 5 Episode 17 - Comedy and Big Data Mixed Up with @robbiethefire

Max Sklar
Guest Interview

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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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